Principal Analytics Engineer

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.

W hat 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

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

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

LI-NC1

LI-Hybrid

Required Skills

Required Experience