Senior Data Platform / Data Product Engineering Lead

Senior Data Platform / Data Product Engineering LeadWe 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 & Qualifications10 years of experience in Data Engineering / Data Platform rolesStrong hands-on expertise in Databricks (Delta Lake, workflows, DAG), Apache Airflow / Astronomer, Python, SQL, DBT, AWSProven 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 ecosystemsExperience 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 IndustryApplicants must be able to work directly for Artech on W2Day-to-Day ResponsibilitiesDefine and implement a self-service data platform strategy to reduce onboarding frictionLead automated provisioning of Databricks workspaces, Airflow/Astronomer environments, and access and entitlementsArchitect and implement enterprise-wide data discovery and marketplace enablementLead design of scalable data ingestion, curation, and transformation frameworksDefine and enforce standard CI/CD pipelines across data productsDrive publishing of data products to Unity Catalog and Enterprise Data MarketplaceEstablish a scalable operating model for data product supportCompany Benefits & CultureCompetitive salary and benefits packageOpportunities for professional growth and developmentCollaborative and innovative work environment