> Markdown version of [/jobs/ext/1917913-manager-of-data-analytics-engineering](https://www.wearedevelopers.com/jobs/ext/1917913-manager-of-data-analytics-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager of Data & Analytics Engineering - **Company:** Kforce Inc. - **Location:** Morgan Hill, CA, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Batch Processing, BigQuery, Cloud Database, Information Engineering, Data Warehousing, Python (Programming Language), Meta-Data Management, DataOps, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Large Language Models, Snowflake, Apache Flink, Data Analytics, Apache Kafka, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/3413a8aa-65e9-4e7d-83af-7b142b4236f0 ## About the Role * 7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams * Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks * Strong command of SQL and Python * Hands-on experience integrating AI/LLM tooling into engineering workflows or data products * Proven ability to define and execute a multi-year data platform strategy * Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences * Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management * Track record of delivering trusted, well-documented, and widely adopted data products It would be great if you also had: * Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms * Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing * Exposure to data mesh or data product organizational models ## Description Kforce has a client that is seeking a Senior Manager of Data & Analytics Engineering in Morgan Hill, CA. This is a great opportunity with one of our clients in this contract to hire role., We are seeking a Senior Manager of Data & Analytics Engineering to lead our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform-from ingestion and transformation to analytics layers that business teams rely on daily. You will oversee Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)