Lead Data Engineer

The platforms you build power what OneMagnify's enterprise clients can do with their data — real-time personalization, customer segmentation, and the clean foundation analytics teams need for advanced modeling. When a client wants cross-channel marketing that responds to customer behavior in the moment, your architecture makes that possible.

You'll be the technical anchor connecting data engineering with analytics, creative, and strategy on complex projects — the coordination that OneMagnify's integrated delivery model depends on. Along the way, you're setting the technical bar: modern architecture patterns, tighter workflows, and platforms that stay secure and aligned with where clients are headed.

Lead Projects End-to-End

Lead data engineering projects from the ground up, owning design and architecture decisions

Set the engineering standards the team builds against — and hold your own work to the same bar

Stay hands-on in the code on key projects, mentoring engineers through reviews and pairing

Design and implement ETL/ELT pipelines that hold up under real production load

Build advanced database solutions in Oracle Cloud Database and PostgreSQL — database architecture, query refinement, stored procedures

Develop cloud-native data solutions on Google Cloud Platform that scale with client demand

Set the standard for maintainability, testing, and documentation, and own resolution of the hardest technical problems

Bring CI/CD and infrastructure-as-code into delivery, working alongside DevOps to keep releases fast and clean

Monitor system performance and get ahead of issues before clients see them

Run sprint planning and manage timelines so complex projects land on time and at quality

Coordinate dependencies across engineering, operations, and client-facing teams

Weigh in on hiring and onboarding decisions as the team scales

7+ years in data engineering, database development, or a related technical subject area

3+ years leading or managing engineering teams, proven in mentoring engineers and delivering results

Deep expertise in Oracle’s cloud-based database systems development, including PL/SQL, performance tuning, and cloud-native features

Advanced PostgreSQL skills — schema design, query tuning, indexing, and database administration

Hands-on experience with various services within Google's cloud ecosystem such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Cloud Composer

Strong Python and SQL, with a track record of writing clean, production-quality code

Experience with Git, CI/CD pipelines, and agile development

Strong problem-solving instincts for complex, multi-source data environments

Clear communicator who can work across technical and non-technical teams

Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience

Future-Ready Skills (Nice to Have)

Experience with Azure services (Data Factory, Synapse Analytics, Azure SQL Database, Data Lake Storage)

Hands-on work with Databricks for data processing, analytics, or machine learning workflows

Familiarity with AI-enabled workflows and tools for data quality, observability, or automated pipeline generation

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.