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Experience level: Associate Experience required: 3 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Consumer Electronics Compensation: View salary Total position: 1 Relocation assistance: Yes
The Data Solutions Architect will be responsible for strategically designing and implementing business intelligence, data warehouses, and data integration solutions as an integrated centrally designed platform while ensuring high levels of data availability and quality. This individual will also be responsible for defining data standards and models for enterprise data architectures.

Responsibilities:

• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.

• Create models for new data warehouse development and/or changes to existing data stores.

• Develop, implement, and maintain change control and testing processes for modifications to data systems.

• Ensure that data strategies and architectures are in regulatory compliance and follow best practice.

• Document the data architecture and environment to maintain a current and accurate view of the larger data picture.

• Identify data discrepancies and data quality issues, and work to ensure data consistency and integrity. • Identify inefficiencies and gaps in the current data platform and leverage solutions to ensure data standards

• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

• Mapping of data sources, data movement, interfaces, and analytics, to ensure data quality.

• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.

• Work with data team and end-users to identify, create, and deliver data and reports according to requirements.

• Diagnose and work with IT and data personnel to resolve data warehouse access and performance issues.

• Design and manage ETL processes and data pipeline code.

• 3+ years of hands-on relational, dimensional, and/or analytic experience using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols), including technical experience designing, modeling, building, installing, configuring, and supporting multi-terabyte data warehouses.

• Experience with data platforms and modeling, including Azure data platform, Oracle, SQL Server, Azure/MS Analysis Services.

• Experience with Microsoft Power BI, PowerQuery (M-language) and DAX.

• Experience with Infor Data Lake a plus.

• Experience with data processing flowcharting techniques, developing data information flows, business process modeling and analyzing business requirements.

• Knowledge of software engineering best practices across the development lifecycle, including agile/scrum methodologies, coding standards, code reviews, source management, build processes, testing, and operations. Skills

• Must make crucial design decisions affecting production systems and schedules. Decisions may have input from other domain experts, project team members, customers, department management and governance structures.

• Must be detail oriented, organized, and able to critically analyze business processes and independently solve problems in a complex development environment.

• Applies analytical skills, problem solving techniques, project management skills and coordination to make decisions essential to maintaining accurate and reliable design models and applications.

• Effective organization and prioritization skills.

• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

• Excellent technical architecture and technical support documentation skills.

• Strong presentation and interpersonal skills.

• Should possess the ability to approach deliverables with a macro-perspective and able to understand business needs and requirements when delivering their technical solutions.

• Ability to present ideas in user-friendly language.

• Ability to research data issues, standards, and products as required.

• Must be able to write, read, and verbalize English at a fluent level