Data Engineer

Company: LHH US
Location: San Mateo
Posted on: January 28, 2026

Job Description:

Job Description Job Description Senior Data Platform & Lakehouse Engineer About the Role We are seeking an experienced data engineering leader who can architect, scale, and modernize an enterprise-grade data ecosystem. This role will focus on maturing our Data Lakehouse environment, strengthening data quality and governance, and ensuring the platform supports analytics, product needs, and cross-team workflows. You will be a key contributor in shaping the company's future data strategy. What You'll Own Build, enhance, and maintain the data pipelines, transformation models, and integrations that serve as the foundation of the enterprise data platform. Implement automated monitoring, data-lineage tracking, and validation frameworks to ensure data reliability, accuracy, and full traceability across domains. Lead the planning and definition of a company-wide data strategy, partnering with leadership and technical teams to create a sustainable long-term vision. Design and implement a modern Data Lakehouse architecture-including ingestion patterns, transformation layers, and orchestration workflows. Serve as the subject matter expert on structuring a Lakehouse using Databricks Unity Catalog and best-in-class governance patterns. Approach platform decisions using a product-oriented mindset, ensuring data assets and features are built with user fit, adoption, and long-term usability in mind. Use Databricks for ingestion, transformation pipelines, orchestration tasks, and workflow management. Architect, develop, and manage reliable ETL/ELT pipelines that bring data from source systems into centralized repositories. Scale the data platform to support higher volumes, broader use cases, and increased performance demands. Integrate key business applications into the data platform, including CRM, financial systems, and SaaS-based data sources. Use a programming language commonly applied in data engineering (Python preferred) to implement automation and transformation logic. What You Bring Required Qualifications 7 years designing, building, and maintaining pipelines, models, and data integrations for enterprise environments. 7 years implementing automated monitoring, validation, and lineage frameworks for data quality and transparency. 3 years defining or contributing to an organization-wide data strategy. 3 years architecting and delivering Data Lakehouse solutions-including ingestion, transformation, and orchestration. Deep expertise in Data Lakehouse structuring, specifically with Databricks Unity Catalog. A product-centric approach: ability to evaluate how users interact with data products and shape designs based on usability and adoption, not just technical feasibility. 1 year working with Databricks for ingestion, transformation, and orchestration workflows. 5 years architecting ETL/ELT pipelines moving data from source systems into centralized environments. 2 years scaling data platforms to support growth and increased complexity. 2 years integrating critical applications into a centralized data ecosystem (experience with Salesforce, Addepar, iCapital, or similar systems is a plus, not a requirement). Working proficiency in a programming language commonly used in data engineering (Python strongly preferred). Bachelor's degree in Computer Science or a related field. Very Nice to Have Experience incorporating AI capabilities into data strategy or platform design. Experience working with Salesforce-data warehouse integrations or connections to financial systems. Why This Role Is Impactful You'll be a core influence in how the organization organizes, governs, and activates its data. Your work will create the foundation for analytics, automation, and future product capabilities - including the potential integration of AI-driven components. Pay Details: $120,000.00 to $200,000.00 per year Search managed by: Jeff Schweiger Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate -privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Keywords: LHH US, Sunnyvale , Data Engineer, IT / Software / Systems , San Mateo, California