Data Engineer

aFit Staffing Inc. is hiring a Senior Data Engineer focused on data architecture and governance to help design scalable enterprise data solutions and strengthen how data is integrated, protected, and delivered across systems. This hybrid role in Indianapolis supports cloud data initiatives and ETL and integration work while partnering with stakeholders to improve data quality, accessibility, and consistency.

In this position, you will contribute to long-term data strategy, evaluate emerging technologies, and help teams implement data policies and controls that support governance best practices. You will also provide technical guidance and communicate complex data concepts to both technical and non-technical audiences.

Key Responsibilities

• Design and implement enterprise data architecture solutions.
• Develop, maintain, and optimize data integration processes and ETL workflows.
• Support cloud-based data initiatives and platform modernization efforts.
• Analyze data requirements for current and future systems.
• Ensure data quality, consistency, integrity, and accessibility across multiple data sources.
• Contribute to enterprise data warehousing and integration strategies.
• Promote enterprise data governance best practices and standards.
• Support development and enforcement of data policies, procedures, and controls.
• Partner with stakeholders to improve data stewardship and utilization.
• Identify opportunities for long-term data strategy and platform enhancements.
• Evaluate emerging technologies and recommend solutions aligned with organizational objectives.
• Collaborate with business and technical stakeholders to define requirements and deliver solutions.
• Provide technical guidance and knowledge sharing on enterprise data initiatives.
• Lead or support complex data projects and implementation efforts.
• Communicate technical concepts to both technical and non-technical audiences.
• Contribute to project planning, execution, and delivery activities.

Required Qualifications

• Enterprise Data Architecture (Required, 2+).
• Azure and/or AWS Cloud Platforms (Required).
• Azure Databricks (Required).
• ETL Development & Data Integration (Required, 2+).
• Data Warehousing Concepts (Required, 2+).
• Data Governance Best Practices (Required, 2+).
• PostgreSQL, Oracle, SAP HANA, or Similar Databases (Required, 2+).
• Stakeholder Communication (Required, 2+).

Technology Stack

• Azure
• AWS
• Azure Databricks
• ETL
• PostgreSQL
• Oracle
• SAP HANA
• DCAM
• DMBOK

Location and Work Format

• Location: Indianapolis, IN (hybrid)
• Schedule: Full-time
• Hybrid expectations: Four days onsite and one day remote each week

Minimum experience: 2 years.