Principal Analytics Engineer
Principal Analytics Engineer
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1 Vacancy
Job Description
What will you do in this role
The Principal Analytics Engineer designs builds and supports high-quality data products supported through data pipelines and data integrations and/or data visualizations. It is critical to ensure reliability performance and cost efficiency while maintaining thorough documentation.
The Principal Analytics Engineer will use new and established automation and integration tools Information Architecture strategy frameworks critical thinking and problem-solving skills to build and support the ongoing development of data products.
The ideal candidate is outcome-focused and has a collaborative style that fosters teamwork. They will be required to work across multiple initiatives.
What will the employee do in this role
Lead the design creation and support of high-quality data products
Build and manage data warehouses and data lakes
Design and build data pipelines data flows and/or data visualizations to support data products
Develop and maintain semantic models
Focus on DevOps processes reliability performance and cost optimization
Implement data quality checks and validation processes to ensure data accuracy and reliability
Collaborates with Data Services leadership to prioritize product roadmap
Drive the adoption of new data technologies and tools to enhance data processing capabilities
Lead cross-functional groups in large-scale data projects ensuring alignment with business objectives
Contribute to the process of making data architecture decisions
Provide thought leadership in analytics engineering best practices and emerging technologies
Coordinate with Data Governance to support the development and implementation of data governance frameworks and policies for data products
What Skills & Qualifications do you need
Education
BABS required; MBA or MS or equivalent a plus
Certifications related to data and analytics engineering (e.g. Azure Data Factory Microsoft Fabric Power BI) preferred; Microsoft Fabric Analytics Engineer Associate will be required within 90 days if not already achieved
Required Qualifications
10 years of data/analytics engineering experience
Expert in SQL with knowledge of T-SQL and PL/SQL
Expert in data engineering techniques data pipeline development and/or data visualization development
Applied experience transforming manual processes to industry standards
Requires excellent analytical ability attention to detail and proven ability to work independently and in a team
Ability to quickly adapt to changing priorities and generate innovative solutions
Expert understanding of conceptual and logical data design
Expert understanding of data mapping and lineage strategies
Expert understanding of data modeling techniques such as 3rd normal form and star schema
Preferred Qualifications
Financial services industry experience or other highly regulated industry experience
Applied experience in Agile SAFe Scrum or Lean Six Sigma
Familiarity data engineering development using Python and/or Scala
Demonstrated understanding of data management practices and data governance process; familiarity with data governance tools such as Azure Purview
Certifications related to Data Analytics and/or Data Engineering
Proficient with building data pipeline / analytics solutions in a cloud data architecture experience with Azure Data Solutions including Microsoft Fabric
Familiarity with analytics process automation tools such as Alteryx
Familiarity with object-oriented programming and the software development process
Familiarity with source control tools such as git
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Required Experience:
Staff IC
Employment Type
Full-Time
