Data Engineer
Frazier & Deeter (FD) is an award-winning accounting & advisory firm. FD and our family of brands serve clients worldwide, from the Fortune Global 500 companies to growing small businesses. Frazier & Deeter cultivates a growth mindset and instils in our people the belief that we must be adaptive and entrepreneurial, and we make a difference for our clients and each other. We focus on our brand promise of Investing in Relationships to Make a Difference.
FD offers a full range of tax, audit, accounting, and advisory services through our offices in Atlanta, Charlotte, Las Vegas, Nashville, Alpharetta, and Tampa, in addition to London and India. We have been recognized repeatedly as a Top 50 firm, a Best of the Best Accounting firm, a Best Firm to Work For® and a Best Firm for Women in Leadership.
FD recently opened its own entity in India to support our expanding international and cross-border client base. We are not your typical firm of accountants and we like doing things differently. Our team members have the opportunity to be involved in global consulting and advisory client facing roles in a fast growing and exciting new business in India, which is part of our established and highly regarded accountancy firms in the US and UK.
About the Role
The Data Engineer is responsible for designing, building, and maintaining the firm’s data platform, supporting data integration, analytics, governance, and advanced insights initiatives. This India-based role supports a global firm and collaborates closely with stakeholders and technology teams across the United States, United Kingdom, and India.
This role requires strong expertise in data pipeline engineering, data modeling, cloud-based data architecture, and governance-aware design. The Data Engineer will build and optimize scalable ETL/ELT processes, design data warehouse and data lake architectures, and ensure that data across core systems—including Salesforce, Certinia, ERP systems, Microsoft data platforms, and other enterprise applications—is accurate, secure, and analytics-ready.
The role will also support data transformation initiatives across the Microsoft ecosystem, including platforms such as Microsoft Dataverse and related Microsoft data services, enabling seamless integration between operational systems, analytics platforms, and automation tools.
As the firm continues to mature its data ecosystem, this role will serve as a foundational engineering position with high growth potential. The Data Engineer is expected to actively participate in solution design, propose scalable architecture decisions, and ensure that data solutions align with security, compliance, and long-term strategic objectives.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and AWS-based technologies.
- Build and manage data warehouse and data lake architectures to support reporting, analytics, and advanced initiatives.
- Integrate data across enterprise systems, including Salesforce, Certinia, SQL Server, ERP platforms, Microsoft Dataverse, and other internal systems.
- Develop analytics-ready datasets optimized for Power BI and other reporting platforms.
- Implement real-time or near-real-time data processing solutions where required.
- Design and maintain dimensional data models (e.g., star schema) to support scalable reporting and analysis.
- Ensure data quality, validation, reconciliation, and integrity across systems.
- Implement CI/CD processes for data pipelines and maintain infrastructure using Infrastructure as Code principles.
- Design and implement data integrations and transformation workflows using Microsoft data technologies, including Microsoft Dataverse and related Microsoft data platform services.
- Collaborate with teams leveraging Microsoft data and automation platforms to enable reliable data movement between enterprise systems and Microsoft-based analytics and automation solutions.
- Design data pipelines with strong security controls, role-based access, and auditability.
- Implement data masking, PII handling, and compliance-aware data transformations.
- Support logging, monitoring, and auditability requirements for enterprise and regulatory needs.
- Collaborate with security and compliance teams to ensure data architecture aligns with regulatory standards such as SOC 2, GDPR, and financial control requirements.
- Participate in data governance initiatives, including metadata management and data quality frameworks.
- Collaborate with global stakeholders to gather requirements and translate business needs into technical data solutions.
- Present data architecture decisions and technical concepts to non-technical stakeholders.
- Work within agile or sprint-based delivery models and participate in planned global meetings with occasional time zone overlap.
- Remain current on emerging data engineering practices, tools, and architectural patterns, and proactively recommend improvements.
- Respond to development-related tickets and perform other duties as assigned.
Qualifications and Experience
- Minimum of 7+ years of hands-on data engineering experience in an enterprise environment.
- Advanced SQL expertise, including complex query design and performance optimization.
- Strong Python experience for building and maintaining data pipelines.
- Proven experience designing dimensional data models (e.g., star schema, fact/dimension modeling).
- Experience implementing real-time or streaming data concepts.
- Strong understanding of CI/CD practices for data pipelines.
- Experience applying Infrastructure as Code concepts in cloud-based environments.
- Familiarity with AWS services such as S3, Lambda, Glue, or related tools is desirable.
- Experience integrating data from API-based systems (REST/SOAP) is a plus.
- Experience working with large-scale datasets is beneficial.
- Familiarity with containerization technologies (e.g., Docker) is a plus.
- Experience working with Microsoft data platform technologies, including Microsoft Dataverse or related Microsoft data transformation services.
- Familiarity with integrating enterprise data into Microsoft-based analytics and reporting platforms such as Power BI.
- Understanding of data transformation and integration patterns within the Microsoft ecosystem.
- Strong understanding of data security principles, access controls, and auditability.
- Experience working within data governance and quality frameworks.
- Ability to collaborate effectively with globally distributed teams across multiple time zones.
- Strong communication skills, including the ability to document technical designs and explain architectural decisions clearly.
- Demonstrated curiosity, adaptability, and willingness to grow into broader platform and leadership roles as the organization scales.
Additional Qualifications
- Experience working in hybrid or AWS-based cloud environments.
- Exposure to BI platforms such as Power BI and Salesforce reporting.
- Experience supporting AI/ML or advanced analytics initiatives.
- Experience working with Microsoft data services, including Dataverse, Power Platform data integrations, or related Microsoft data engineering tools.
- Cloud or data engineering certifications (e.g., AWS certifications) are preferred but not required.
- Experience in professional services, accounting, or financial services environments is advantageous.
Experience Requirements
- 7+ years of data engineering experience required.
What FD offers
- Competitive salary
- Clear career path within the firm
- Personal and professional skills development and training support.