Administer database performance issues using system tables, SQL Server database tuning advisor, DBCC commands, built in functions and stored procedures. This person should have practical experience in some of the big data technologies including - Hadoop, HBase, Hive, Zookeeper technologies. Developed data models for business services required by multiple applications. Your email address will not be published. This role is a hands on technical expert and has experience in leading large delivery teams delivering complex projects, This position requires deep knowledge of Big Data, data warehousing and streams technology，Build or choose open source tools to help other engineers access complex data more efficiently, experienced client facing consultant with strong ability to get requirements and translate to specifications, BS or MS degree in computer science or engineering, 5 years in IT Industry with client insight. in line with FP&A’s long-term strategies/objectives - during project course indirect responsibility of involved project members (for transformational changes), Ability to work closely with the Planning Solutions and External Master Data architecture and governance managers, Flexible and collaborative work approach to solve complex problems and to develop customer-specific solutions, taking into account multiple internal and external stakeholder groups and different level of stakeholder groups (e.g. Create resume with our Sleek Resume Builder increase your chances of being Deep-dived four major Qlikview applications for Supply Chain Intelligence and presented the detailed As-Is architecture including Data Sources, ETL, Job Scheduling, Lineage, Data Models and Data Quality. Recognized for ability to produce concise, … Create inventory of enterprise’s data and store data in easily accessible format 5. Measured and audited large volumes of varying data for data quality issues. Designed conceptual, logical, physical data models and proof of design for enterprise data management. Download Data Solutions Architect Resume Sample as Image file, Business Solutions Architect Resume Sample, Initiate, develop, and lead new solutions demonstrations/proofs of concept, Provide technical input to the IT strategic roadmap, Help design and architect the process and technology infrastructure to support production, development, test, and experimental platforms for business customers, Lead and teach business customers on data warehousing, big data, and data integration concepts and technologies, Deep knowledge of database and data warehouse technologies, Architecture and design of data and information management solutions to support analytical and management applications, including data transport, lineage, security, management, analysis, reporting, and life-cycle management, Work closely with the project teams as outlined in the SDLC methodology providing guidance in implementing solutions at various stages of projects, Work with development, infrastructure, test, and production support teams to ensure proper implementation of solution, Create architecture and technical design documents to communicate solutions that will be implemented by the development team, Work closely with the project teams as outlined in the SDLC engagement model to provide guidance in implementing solutions at various stages of projects, Drive the evolution of infrastructure, processes, products, and services by convincing decision makers, Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change, Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates, Assist & support other teams (mainly Development and QA) and provide mentoring expertise to developer, The applicant shall provide a data management plan for ongoing use of the tool, Design, coordinate and execute pilots, prototypes or proof of concepts and provide validation on specific scenarios, The applicant shall perform the tasks necessary to allow MPB staff to use the selected data management and reporting tool for its data, Contribute to the evaluation and development of overall IT strategy and performance, In collaboration with project manager, assigns a complexity, perceived business value, and ROI to opportunities, Create and design new solutions, applying theoretical principles of computing and mathematics in order to analyze, test and assess software solutions, Good interpersonal skills and the ability to collaborate effectively with others, Demonstrated ability working with a BI/DW team in developing and implementing new warehouses relying on ETL and delivering significant analytical capabilities, Knowledge and usage of BI/DW best practices in Kimball methodology, Strong communication skills, both verbal and written, Strong analytical / problem-solving skills, Strong modeling skills including dimensional and normalized modeling utilizing Star and Snowflake schemas, Five years of experience maintaining/operating BI capability, Ability to establish and maintain effective relationships with customers, gaining their trust and respect, BS in Engineering or Computer Science or equivalent, Prior experience building large scale distributed system, Experience deploying and scaling applications on AWS, GCE or OpenStack, Deep experience with popular Big Data and NoSQL systems, Familiar with agile software development practice, Willing to relocate to Oregon (if necessary), Experience in leading complex, cross-organization teams, Good knowledge and understanding of Web Service APIs, Proven troubleshooting and performance tuning experience, Continually works with the Data Services team and ISG team members to ensure consistent clarity and alignment of data design, functionality, and business requirements, Designs solutions for non-functional data requirements such as Service Level Agreements (SLAs), historical archiving, privacy & security, Works with DBAs on performance optimization SLA definition and tracking, Liaisons with the vendors and external support on issues such as upgrades, technical problems and solutions, Demonstrates and promotes a workplace culture of innovation, high performance, accountability, commitment, respect and teamwork, Provides input related to resource allocations, project plans and deadlines, Provides regular status updates to the appropriate parties, Well versed with software engineering processes (especially Agile) including hands-on experience with UML methodologies, Organized, goal-oriented, self-starter, can manage multiple tasks from start to completion with limited supervision, Knowledge of entertainment industry a plus, Gather technical requirements, listen to business problems, ask probing questions, and develop the solutions architecture to meet the business needs, Extensive experience with at least two of the following big data technology areas: Hadoop, NoSQL databases, and Search, Facility with one or more of the following: Java, MapReduce, Python, Perl, Pig, Hive, Extensive experience designing solutions to business problems with data warehousing, big data, and data integration technologies, Experience taking solution concepts from ideation to deployment, Strong interpersonal skills as well as strong verbal and written communication skills, Experience with large data sets and their associated challenges, Familiarity with networking components, protocols, challenges, and solutions, Experience with Business Intelligence tools, such as Business Objects, Microstrategies, Tableau, Collaborate in planning initiatives in Application Development, System Architecture, Future Roadmaps, Operations and Strategic Planning, Work with business teams and technical analysts to understand business requirements. A Data Architect is someone who solves problems for data companies. Jr. Data Architect Resume. Data Architects should have college degrees in Computer science, computer engineering … Data Architect Resume Sample Read More » Before writing your data science résumé and sending it off to the first appealing job posting, be sure to consider the below tips: 1. ), Knowledge of statistical classifier models such as HMM, SVM, CRF, LMT, and of best practices in attribute selection, dimensionality reduction, and runtime performance optimization, Knowledge of IR concepts such as statistical search ranking, knowledge graphs, LSA, document clustering, semantic search, Proven track record of analyzing data and bringing value across a range of projects, Strong self-motivated contributor, able to work independently with distributed teams, Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists, Familiarity with noisy and/or unstructured textual data, Familiarity with deep and recurrent ANN frameworks such as CNTK, Tensorflow, Must have implemented at least one customer master solution, Strong knowledge of data quality techniques in building master data repositories, Strong knowledge of match/merge techniques in building master data repositories, Ability to articulate data governance framework options with clients and then aid the client in implementing those data governance frameworks, Exposure to data migration / data retention type activities and issues, Master Data structures-Legacy and web systems across Customer, Program and Vendor domains, Expertise with Master Data Management products (Informatica, IBM, Oracle), Strong communication, interpersonal and problem solving/analysis skills, 5+ years of Business Intelligence and Data Architecture experience leading efforts to improve and restructure data structures, as well as create views to enable easier access to existing data structures, 5+ years of experience in working with one of the master data model (MDM) products – (IBM, Oracle, Informatica), Proficient in SQL and Non SQL database modeling (DB2, Oracle, Mongo DB, Marklogic), Work on enterprise wide solutions using Big Data, Identify and migrate legacy solutions to big data solutions as per enterprise data management strategy, Develop solutions to satisfy user requirements, Managing the full life-cycle of a Hadoop solution, Requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution, Work with project teams to support project objectives through the application of sound architectural principles, Develop and validate proposed solution architecture supports the stated & implied business requirements of the project, Accountable for developing and executing tasks in support of new product development, Enhance, optimize, and secure the Big Data platform, Enhance and automate algorithms and dashboards to supporting Security Analysts, 10 or more years of progressively complex health care data analyst experience, Has in-depth knowledge of large scale search applications and building high volume data pipelines, Expert experience implementing complex, enterprise-wide data transformation and processing solutions, Able to report and present data analysis and business decisions to the Key Stake Holders, Experience with Visual Software such as; Tableau, Two years of experience as a BI/DW architect, acting as a lead for modeling activities, Five years of experience in a senior technical role focused on BI/DW, Understanding for how to integrate big / unstructured data stored in Hadoop with structured warehouse data, Ability to communicate effectively with others at all levels of the organization with either technical and business orientations, Bachelor's degree in computer science, computer engineering or similar, Previous experience with Health data and related privacy requirements like HIPAA strongly desired, To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them, To be able to clearly articulate pros and cons of various technologies and platforms, To be able to explain the work in plain language, To be able to help program and project managers in the design, planning and governance of implementing projects of any kind, To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution, To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines, Working with the Lead Architect, contribute to the design and development of the VEDA Big Data Analytics architecture framework including technology, architecture strategy, cloud strategy, policies, guiding principles and standards to govern how analytic technology solutions will be developed and implemented, Provide expert consultation and participate as a subject matter expert with VEDA Enablement Team and Execution Team solution architecture, Develop/maintain VEDA architecture planning, processes and standards artifacts, Lead technical architecture discussions and forums across clients, enablement and execution teams ensuring open communications and collaboration regarding architecture across stakeholders, Identify enhancements and gaps in architectural frameworks, standards and patterns and raise them for consideration and inclusion in future versions, Advance knowledge of architecture technology, tools, programming languages, processes and procedures on a broad, organizational level, Ensure projects are aligned with VEDA technology and architecture standards, and design/operate processes to provide ongoing review of in-progress activity against technology architecture and development standards, Contribute to meeting key project milestones and overall project deliverables on time, within budget, adhering to standards, Lead the development and implementation of detailed / complex and/or comprehensive project plans and/or large projects, Continuously enhance knowledge/expertise with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions, Perficient covers all travel related expenses including weekly flights, weekly hotels, meals, rental car, cell phone, etc, Ability to learn and develop skills as needed to support services outside of this job description and prove with prior examples, Provide architectural assessments, strategies, and roadmaps for one or more technology domains, End-to-End Cloud Data Solutioning and data stream design with Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc. Results-driven Senior Solutions Architect with extensive experience in spearheading the management, design, development, implementation and testing of IT solutions. Identify strategic data requirements of an enterprise 2. Performed analytics on large data sets creating summarized reports for a management audience. Contributed to the logical design and data modeling of the architecture that comprised the data structures of the project. View All Architect … Sort by: relevance - date. Data Science Solutions Architect New York, NY. Home. It might be obvious, but do not send 10,000 identical CV’s to every data science position you find. Responsible for Modelling and Building Enterprise data Marts and for different business reporting needs. Data architects guide the Data Science teams while data engineers provide the supporting framework for enterprise data activities. Database developers/programmers make sure that their systems can handle large data in data companies. - Instantly download in PDF format or share a custom link. Experience in setting up Hadoop clusters in AWS. This makes the resume stronger and to stand a better chance of getting you an interview. Objective : Bring clarity to enterprise data through creative strategies and standards that drive efficiency and cost savings. While the Solution Architect resume templates you saw before looked good. Displayed here are Job Ads that match your query. Extensive data mapping of all data that is being captured and its subsequent migration to downstream consumers was a critical deliverable. Apply Now . )/Azure (HDInsight, Data Lake Design) Manage Big Data project and workstream with an emphasis on AWS skillset, Build Fault tolerance systems with scalability and high data throughput, 8 Years information Technology with focus on enterprise Software development & architecture, 4+ years of experience in End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade like: Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc. How to set up the right data strategy. Candidates should be mostly hands on at their current positions, have hunger to learn new technologies and are self-motivated, The ability to clearly explain and justify ideas when faced with competing alternatives. Your email address will not be published. Your work experience must be more than a tedious list of duties. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. The resume must highlight your expertise in enterprise data architecture, management of structured and unstructured enterprise data, data warehouse and database development, data modeling, business and system analysis, data migration and integration, ETL strategies, data governance, enterprise security policies and procedures, backup and recovery methods, troubleshooting enterprise data issues, data … He knows the right facilities and tools to use to solve the problem. Worked closely with Servers/Network/VM ESX/Storage teams to configure high availability productions database servers. Designed data architecture for employee work schedules and appointments. Understanding how to best structure your data strategy, and the roles within an organisation is not an easy task, but a data science architect can be of great assistance. In data architecture, a master’s degree in computer science or data science is better for many senior positions. Indeed may be compensated by these employers, helping keep Indeed free for jobseekers. )/Azure (HDInsight, Data Lake Design), Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Ruby, Perl, Python, Must have capacity for project/engagement planning and have experience employing the faculties of SCRUM and Agile DevOps & Production Release Management, Working knowledge on building and working around data governance, Passion for working with Open-source technologies as well as commercialized platforms, Bachelor’s Degree with a minimum of 5+ years relevant experience or equivalent, Certification in Datastax, AWS, or any other Big Data technologies. It’s actually very simple. Oversee entire data lifecycle from acquisition to reporting through implementation of various ETL techniques and data management methodologies. 15. Should have experience developing roadmaps to address the priority opportunities and their supporting business cases, Experience with formal presentations, white boarding, and large and small group presentations. And, as an extra resource, you’ll discover how to recover from 3 common job interview mistakes. - Choose from 15 Leading Templates. There was more science behind that you probably didn’t notice. Posted Feb 11, 2020 - Requisition No. Solutions architects will need a bachelor's degree in computer science, engineering, mathematics, or business. They provide a solution if any issue relating to database performance is seen. Responsible for performance tuning, capacity planning, SQL Server clustering, database security configuration. Data science overview, AI application in various domain , Technology a data scientist must know, Tool used in data science industry, Generic project architecture in data science. You partner with our data capture experts, fellow data scientists and IT Teams to create a cohesive working environment driven … Building EDW from Nextgen and Athena for clinical and financial reporting needs. Identified the Meta data properties and mapping them back by identifying the true source. Responsible for managing all the production deliverables (deployment document, Work Order, Change Order). Determine how to leverage technology to create solutions that satisfy the business requirements, Present solutions to the business, project teams, and other stakeholders with the ability to speak technical and non-technical, Assesses the business problems and directs solutions that use the right database technology or platform to meet business needs and use cases, Interacts with subject matter experts and ISG team members to define models for large and multiple data feeds (near real time and batch), Assesses business processes, data sources, and data utilization across the enterprise to ensure optimization, extensibility and application of the data architecture, Identifies, evaluates, and recommends emerging data technologies and technology providers that will improve the business, Liaisons with vendor and external support on issues such as upgrades, technical problems and solutions, Monitors the progress and integration of multiple tasks and projects, Background working in Onsite – Offshore model, Review technical team deliverables for compliance with architecture standards and guidelines, 5+ more years of experience working with multiple projects through the entire SDLC, 3+ more years of experience working as a Solutions Architect, 3+ more years of experience with Java development, 3+ more years of experience with Hadoop or NoSQL, Senior functional expert accountable for aligning planning, budgeting and forecasting solutions data framework with broader master data management strategy in close collaboration with Financial Systems Group Master Data Management (FSG MDM) Director and broader Finance consumers (Director and VP level), Governance function and functional end to end design management and decision-authority of the Verizon-wide Hyperion Planning, budgeting and forecasting solutions architecture, Responsible for development and management of the solution Master Data architecture governance framework (e.g. Apply for Cloud Solution Architect Data Science job with Microsoft in Issy Les Moulineaux, Hauts-de-Seine, France. SIS, assessment, and reporting platforms), Willingness to roll up your sleeves up and get in the nitty gritty of what's happening – this is both a visionary and execution-oriented role, Collaborate with senior leadership to develop and execute data strategy, including the architecture and development of master and reference data management capabilities, Assess current data needs, its architecture and tools, and propose plan for improvements to support business growth in the most optimal way, Leverage your experience with "big data" to research, publish and manage data modeling and governance frameworks, technology & technical approaches, proof of concepts, complex design issues, and technical challenges across projects all with regard to data, Partner with product development teams to define and design data architecture solution, Function as a technological evangelist discovering, facilitating discussion, and introducing new idea, technologies, data usage, etc. Advanced degree is highly preferred, 6+ years’ experience in commercial IT and a proven track record with Strategy & Architecture engagements either within a consultancy or large corporate environment. Search Solutions architect data science jobs. Refresh SQL Server database test and dev environments using database engine. They protect the database by using appropriate security measures. But first, let’s focus on the part you simply can’t go without – the data architect competences. Re-defined the current Business Intelligence Platform with clarified data sources and reporting applications. Design and develop complex database management systems and separate … to the business resulting in new product ideas and influencing software development activities, Monitor, measure and report on Data Solutions Architecture adoption, issues, opportunities, risks and plans, Liaise with other functional / departmental leaders to ensure they are fully informed of objectives, purposes and achievements of Data Solutions Architecture, Minimum 5 years in software and data solution architecture, Deep Understanding of Business Intelligence solutions: operational and analytical, strong knowledge of relational and multi-dimensional database architectures, Minimum 3 years with BI Suites such as Power BI, Cortana Analytics, Pentaho, or Spago BI, Minimum 3 years with data transformation and mining toolsets such as SSIS, Kettle or SQL Server data mining, Minimum 3 years with Machine Learning, NLP (natural language processing), Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems and real data, Working knowledge of various NLP techniques and their use-cases such as PoS tagging, NER, NP chunking, document/word embedding, Fluency in Python and/or Java, and general software development skills (source code management, debugging, testing, deployment, etc. Work Order, Change Order ) software development, and information management Promising job in the best candidate the! 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