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aFit is seeking a Senior Data Engineer to lead enterprise data architecture, governance, and cloud data platforms. You will design scalable data solutions, drive data quality, and partner with stakeholders to align data strategy with business objectives.
You will work on data integration, cloud migration, ETL, and modernizing data platforms while contributing to long-term governance standards across the organization.
At aFit, we connect talented professionals with meaningful opportunities that drive innovation and create lasting impact. We are committed to helping our consultants grow their careers while contributing to mission-driven organizations tackling complex technical challenges.
We are seeking a Senior Data Engineer with strong experience in enterprise data architecture, cloud data platforms, and data governance to support a large-scale data and analytics environment. This role is ideal for a hands-on technical professional who enjoys building scalable data solutions while contributing to long-term data strategy and modernization efforts.
The successful candidate will work closely with business and technical stakeholders to design, develop, and optimize enterprise data platforms. You will play a key role in data integration, cloud migration initiatives, ETL development, and data governance programs while helping establish standards that improve data quality, accessibility, and consistency across the organization.
This position offers the opportunity to work within a growing data organization, gain exposure to complex enterprise datasets, and influence strategic decisions related to data architecture, governance, and cloud technologies.
Design and build scalable enterprise data solutions.
Support effective data management and governance initiatives.
Act as a trusted technical resource across the organization.
This role provides the opportunity to influence enterprise data strategy, support large-scale cloud and data modernization initiatives, and help shape the future of data governance and analytics capabilities. The successful candidate will gain exposure to complex enterprise data environments while contributing to projects that drive meaningful operational and strategic outcomes.