Amazon Web Services (AWS), Apache, Application Programming Interface (API), Cisco Unity, Continuous Deployment/Delivery, Continuous Integration, Data Modeling, Data Quality, DevOps, Ecosystems, GitHub, Leadership, Mentoring, Metadata, Microsoft Windows Azure, Multiplatform/Cross-Platform, Onboarding, Product Development, Product Engineering, Product Lifecycle, Product Support, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Standards Development, Team Player
Job ID : 96417-1
Job Title : Senior Data Platform / Data Product Engineering Lead
Location : Irvine, CA
Duration : 6 months + possible extension
Rate Range: $55 - $60/hour on W2/ C2C (All inclusive)
Introduction
We are seeking a highly skilled and experienced Senior Data Platform / Data Product Engineering Lead to drive enterprise-scale data product lifecycle enablement across modern data platforms. This role will lead the design, standardization, and adoption of a paved path for data creators, enabling self-service, governed, and scalable data product development.
Required Skills & Qualifications
- 10 years of experience in Data Engineering / Data Platform roles
- Strong hands-on expertise in Databricks (Delta Lake, workflows, DAG), Apache Airflow / Astronomer, Python, SQL, DBT, AWS
- Proven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps)
- Deep understanding of data governance (catalogs, lineage, contracts, metadata), data quality and masking techniques, enterprise data platforms, and marketplace ecosystems
- Experience with API-based integrations (e.g., entitlement systems like AccessCentral)
- Monitoring/observability tools (e.g., Datadog)
- Prior work experience at client or in client's Industry
- Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
- Experience with data product publishing and marketplace enablement
- Experience in leading platform transformation initiatives and mentoring engineering teams
- Experience in driving execution of platform priorities such as data contract activation strategy, domain catalog integration, and data quality frameworks
Day-to-Day Responsibilities
- Define and implement a self-service data platform strategy to reduce onboarding friction
- Lead automated provisioning of Databricks workspaces, Airflow/Astronomer environments, and access and entitlements
- Architect and implement enterprise-wide data discovery and marketplace enablement
- Lead design of scalable data ingestion, curation, and transformation frameworks
- Define and enforce standard CI/CD pipelines across data products
- Drive publishing of data products to Unity Catalog and Enterprise Data Marketplace
- Establish a scalable operating model for data product support
Company Benefits & Culture
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and innovative work environment
For immediate consideration please click APPLY to begin the screening process with Alex.