Senior Manager, Data Engineering

🕒 April 22

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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OneMagnify

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1967

🤝 B2B

🛍️ eCommerce

🤖 Artificial Intelligence

B2B • eCommerce • Artificial Intelligence

OneMagnify is a company focused on creating optimal customer experiences through digital transformation. They specialize in a variety of services including customer research, brand experience, UI/UX design, website development, eCommerce, and programmatic media powered by AI. By leveraging data-driven strategies and technology, OneMagnify enhances customer engagement and develops personalized experiences at scale for their clients.

📋 Description

• Lead Data Platform Architecture and Delivery • Own the technical direction and delivery of cloud-native data platforms built on Databricks and AWS • Lead the design and implementation of Lakehouse architecture — Delta Lake, Unity Catalog, Spark-based processing — across client engagements • Ensure scalability, performance, security, and cost optimization are built into solutions from the start, not addressed after delivery • Build and Optimize Data Pipelines • Oversee ingestion, transformation, and orchestration pipelines across both batch and streaming workloads • Apply AWS-native services (Glue, Step Functions, Lambda, Redshift, S3) alongside Databricks to build reliable, production-grade pipelines • Establish reusable pipeline patterns and delivery accelerators that raise consistency across the team • Enable AI, ML, and GenAI Use Cases • Ensure data is accessible, trusted, and production-ready to support model development and deployment across AI and GenAI initiatives • Collaborate closely with data science and analytics teams to align platform capabilities with active and planned AI programs • Contribute to client AI roadmap conversations by translating platform decisions into clear enablement strategies • Engage Clients on Technical Strategy • Participate in client-facing architecture reviews and technical strategy sessions, communicating complex platform concepts as practical business outcomes • Support senior leadership in executive briefings and help clients make confident decisions about platform direction and investment • Partner with strategy and delivery teams to scope and structure data platform engagements • Develop the Data Platform Team • Lead, mentor, and grow a team of data engineers, architects, and platform specialists • Set technical standards and create an environment where craft and continuous improvement are expected • Identify skill gaps and help build the team's capabilities alongside the growth of OneMagnify's data practice

🎯 Requirements

• 7+ years of experience in data engineering, data architecture, or analytics, with at least 2 years in a team leadership role • Proven hands-on experience with Databricks in production environments (Delta Lake, Unity Catalog, Spark) • Deep experience with AWS data services — Glue, Redshift, S3, Lambda, Step Functions — in production • Strong expertise in modern data patterns: Lakehouse architecture, ELT/ETL, streaming, APIs, and pipeline orchestration • Solid understanding of AI/ML and GenAI ecosystems, including data requirements for model development and deployment • Ability to lead technical teams, communicate clearly with client stakeholders, and drive delivery quality across engagements

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) retirement plan • paid holidays • Flexible Time Off (FTO) • additional programs focused on wellness, financial security, and professional growth