How will this role impact First Command?
The Senior 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 Senior 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 you do in this role?
- Design, create and support 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
- Maintain thorough documentation for all processes and products
- Ensure adherence to Data Governance outcomes as part of the Enterprise Data & Analytics Team
- 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
- Mentor junior engineers and provide technical guidance on best practices
What skills & qualifications do you need?
Education
- BA\BS 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
- 7+ years of data/analytics engineering experience
- Proficiency in SQL with knowledge of T-SQL and PL/SQL
- Proficient 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
- Proficient understanding of conceptual and logical data design
- Proficient understanding of data mapping and lineage strategies
- Proficient 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
- Familiar 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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