Designs and optimizes Databricks data pipelines, Spark jobs, clusters, data models, ETL/ELT processes, and Lakehouse architectures. Implements governance, security controls, CI/CD, and cloud integrations across AWS, Azure, and GCP. Advises engineering teams, mentors staff, defines technical roadmaps, collaborates with stakeholders, and troubleshoots Databricks performance and system issues.
True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence.
Position Responsibilities
- Performance & Optimization: Optimize data pipelines, configure clusters, and implement best practices for cost and performance.
- Governance & Security: Implement security protocols, such as Unity Catalog, IAM, and data access controls.
- Technical Leadership: Act as a trusted advisor to engineering teams, mentor staff, and define technical roadmaps.
- Collaboration: Work with data engineers and stakeholders to align technical solutions with business requirements.
- Technical Expertise: Strong proficiency in Databricks, Apache Spark, Python/PySpark, and SQL.
- Cloud Proficiency: Experience with cloud platforms, specifically AWS (S3, Glue) or Azure.
- Data Modeling: Expertise in data modeling, data profiling, and ETL/ELT pipeline design
- Architecture & Development: Design and implement scalable data pipelines, data models, and Lakehouse architectures.
- Implement CI/CD pipelines, use tools like Azure DevOps or Git for version control, and automate routine tasks.
- Integrate data from various cloud sources and services (AWS, Azure, GCP) such as Blob Storage, Data Lake Storage, and other databases.
- Optimize Spark jobs & monitor system metrics to quickly troubleshoot issues related to the Databricks environment.
Position Qualifications
- Requires 3-5 years of experience in data engineering, data warehousing, or data architecture roles.
- US citizenship and ability to obtain and maintain a federal security clearance may be required
- Bachelors degree is highly preferred
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
