About the role

The Senior Data Engineer will design and maintain enterprise data foundations to support reporting, automation, and AI initiatives. They will also lead data migration efforts and collaborate with cross-functional teams to ensure data integrity and security.

What they look for

Data Engineering SQL Python ETL ELT Data Warehousing Data Lake Cloud Data Architecture Data Migration Data Quality Data Governance Microsoft Data Platforms AWS APIs Data Modeling Automation

Requirements

Candidates must have at least 7 years of hands-on data engineering experience with proficiency in SQL, Python, and cloud data architectures. Strong expertise in data migration, ETL/ELT pipelines, and data governance is required.

Full description

Join Frazier & Deeter and be a part of a rapidly growing Top 50 accounting & advisory firm that has been repeatedly named a Best Firm to Work For, a Best Firm for Women and a Pacesetter firm among U.S. accounting firms. With several offices across the U.S., UK, and India, there is a spot for you!

We serve clients of all sizes across the United States and the globe, with a suite of services that grow every year. Our growth mindset and entrepreneurial environment translates into variety and opportunity for our people.

At Frazier & Deeter, we’re committed to training, mentoring, and developing our staff members. With our emphasis on Investing in Relationships to Make a Difference and a Firmwide Focus on Inclusion, we help each other grow in every aspect of life.

Job Summary:

Frazier & Deeter is seeking a Senior Data Engineer to help build and scale the data foundation that powers our firm’s technology, automation, reporting, and AI initiatives. In this highly visible role, you will design and optimize enterprise data solutions that support business decision-making, operational excellence, and strategic growth. Working closely with technology and business leaders, you will play a key role in ensuring data is trusted, accessible, secure, and positioned to drive innovation across the organization.

Duties & Responsibilities:

Design, build, and maintain trusted data foundations across financial, practice-management, tax, audit, advisory, CRM, and operational systems.

Lead data migration planning and execution during mergers and acquisitions, including mapping, validation, reconciliation, and migration of active data.

Design approaches for historical information, including data lake or warehouse structures where historical data should be retained outside transactional platforms.

Develop and optimize ETL/ELT pipelines, data models, data quality checks, and integrations that support reporting, automation, and AI-enabled workflows.

Partner with Business Analysts and practice teams to understand data meaning, source-system complexity, and required downstream use.

Collaborate with AI Enablement Engineers to make trusted data available for automations, agents, reporting, triggers, and validation routines.

Ensure data handling aligns with security, governance, privacy, and compliance expectations.

Education & Experience:

7+ years of hands-on data engineering experience.

Advanced SQL, Python, ETL/ELT, data warehouse, data lake, and cloud data architecture experience.

Proven experience leading data migrations or complex integrations across enterprise systems.

Strong understanding of data quality, validation, reconciliation, governance, and source-of-truth design.

Experience with Microsoft data platforms, AWS services, APIs, and integration patterns preferred.

Ability to communicate complex data issues clearly to technical and non-technical stakeholders.

#LI - hybrid