Senior Data Engineer: Cloud, Architecture & Governance

aFit; Indianapolis (IN); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Full-time position

Job summary

aFit is seeking a Senior Data Engineer to lead enterprise data architecture, governance, and cloud modernization. You will shape data strategy, design scalable data platforms, and drive data quality and accessibility across the organization.

The role focuses on data integration, cloud migration, ETL development, and governance programs, offering exposure to complex enterprise datasets and cross-functional collaboration.

Qualifications

• Experience designing scalable enterprise data architectures.
• Experience with cloud data platforms and data governance.
• Strong ETL development and data integration skills.
• Familiarity with data warehousing concepts.
• Knowledge of Azure/AWS and Azure Databricks.
• Experience with databases such as PostgreSQL/Oracle/HANA.

Responsibilities

• Design and build scalable enterprise data solutions.
• Develop, maintain, and optimize data integration processes and ETL workflows.
• Support cloud-based data initiatives and platform modernization projects.
• Analyze data requirements for existing and future systems.
• Ensure data quality, accessibility, and integrity across sources.
• Contribute to enterprise data warehousing and integration strategies.
• Promote and enforce data governance standards.
• Partner with stakeholders to improve data stewardship and utilization.
• Identify opportunities for long-term data strategy and platform enhancements.

Skills

Enterprise Data Architecture

Azure/AWS Cloud

Azure Databricks

ETL/Data Integration

Data Warehousing

Data Governance

Databases

DCAM/DMBOK

Technical Leadership

Stakeholder Communication

Job description

aFit is seeking a Senior Data Engineer to lead enterprise data architecture, governance, and cloud modernization. You will shape data strategy, design scalable data platforms, and drive data quality and accessibility across the organization.

The role focuses on data integration, cloud migration, ETL development, and governance programs, offering exposure to complex enterprise datasets and cross-functional collaboration.