Senior Manager, Data Engineering

OneMagnify is an AI native, platform-enabled B2B digital agency that helps organizations drive measurable business outcomes through data and technology. They are seeking a Senior Manager to lead the architecture and delivery of enterprise data platforms, ensuring the development of scalable data capabilities that support AI and analytics initiatives for large clients.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• Familiarity with MLOps practices, feature stores (e.g., Databricks Feature Store), and AI governance frameworks
• Experience with Databricks partner ecosystems and strategic vendor relationships
• Background in data governance, master data management, or regulated industry data environments
• Experience in consulting, digital services, or agency environments managing multiple concurrent client engagements
• Exposure to Martech or Adtech data platforms — CDPs, CRM data layers, or audience intelligence infrastructure