Lead and mentor a data engineering team, architect data solutions using Azure and Databricks, implement governance protocols, and ensure data quality in healthcare domains.
Senior Data Engineering Lead
Work Mode: Remote with PST, travel as needed, to Orange County, CA 20-30%
Role Overview
We are seeking an experienced Senior Data Engineering Lead to drive enterprise data platform architecture, lead data engineering initiatives, and mentor a growing team of engineers. This role combines strategic leadership with deep technical expertise in modern cloud data platforms, particularly the Azure ecosystem and Databricks Lakehouse architecture.
The ideal candidate will take ownership of data engineering standards, governance frameworks, and scalable data solutions while ensuring high data quality, security, performance, and regulatory compliance aligned with healthcare industry standards.
Key Responsibilities
Leadership & Team Mentoring
Lead, mentor, and develop a high-performing data engineering team.
Provide technical guidance, architectural oversight, and code reviews.
Establish engineering best practices, standards, and governance frameworks.
Foster collaboration across engineering, analytics, BI, and business teams.
Drive knowledge sharing, technical upskilling, and continuous improvement.
Data Platform Architecture & Engineering
Design, implement, and maintain scalable data pipelines across cloud and hybrid environments.
Architect modern lakehouse /data warehouse solutions using Azure and Databricks.
Develop robust ETL/ELT frameworks ensuring reliability, performance, and scalability.
Lead integration of data from enterprise systems, SaaS platforms, APIs, and on-premises sources.
Define data models optimized for analytics, reporting, and advanced analytics use cases.
Data Governance, Security & Quality
Implement enterprise-grade data governance using Databricks Unity Catalog.
Establish data lineage, access controls, metadata management, and security policies.
Ensure compliance with healthcare security and regulatory standards where applicable.
Build data quality monitoring, observability, and reliability frameworks.
Strategy & Stakeholder Engagement
Develop long-term data platform strategy aligned with organizational goals.
Drive cloud data modernization and optimization initiatives.
Collaborate with business stakeholders to translate requirements into scalable solutions.
Support BI and analytics teams with governed, high-quality datasets.
Mandatory Technical Requirements
Strong hands-on experience with:
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
Proven experience designing enterprise-scale data pipelines and lakehouse architectures.
Mandatory expertise in Databricks Unity Catalog, including governance implementation, lineage tracking, access control policies, and metadata management.
Strong experience in ETL/ELT development, data warehousing, and dimensional data modeling.
Advanced proficiency in Python, SQL, Spark, JSON, and modern data engineering frameworks.
Experience integrating enterprise systems such as ERP, CRM, and healthcare/SaaS platforms where applicable.
Solid understanding of data governance, security protocols, RBAC, data lineage, and data quality practices.
Experience working in Agile environments with DevOps, CI/CD pipelines, and version control tools (Git, Jenkins, Jira).
Preferred Qualifications
Experience in healthcare, diagnostics, or regulated data environments.
Experience implementing large-scale cloud data modernization programs.
Exposure to real-time data pipelines, streaming platforms, and API-driven architectures.
Experience with BI/visualization tools such as Power BI, Tableau, or similar platforms.
Strong stakeholder communication and consulting experience.
Experience mentoring distributed or global teams.
Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Key Competencies
Technical leadership and mentoring capability
Strategic thinking and data architecture expertise
Strong problem-solving and analytical skills
Excellent communication and stakeholder management
Ability to balance hands-on engineering with leadership responsibilities
Work Mode: Remote with PST, travel as needed, to Orange County, CA 20-30%
Role Overview
We are seeking an experienced Senior Data Engineering Lead to drive enterprise data platform architecture, lead data engineering initiatives, and mentor a growing team of engineers. This role combines strategic leadership with deep technical expertise in modern cloud data platforms, particularly the Azure ecosystem and Databricks Lakehouse architecture.
The ideal candidate will take ownership of data engineering standards, governance frameworks, and scalable data solutions while ensuring high data quality, security, performance, and regulatory compliance aligned with healthcare industry standards.
Key Responsibilities
Leadership & Team Mentoring
Lead, mentor, and develop a high-performing data engineering team.
Provide technical guidance, architectural oversight, and code reviews.
Establish engineering best practices, standards, and governance frameworks.
Foster collaboration across engineering, analytics, BI, and business teams.
Drive knowledge sharing, technical upskilling, and continuous improvement.
Data Platform Architecture & Engineering
Design, implement, and maintain scalable data pipelines across cloud and hybrid environments.
Architect modern lakehouse /data warehouse solutions using Azure and Databricks.
Develop robust ETL/ELT frameworks ensuring reliability, performance, and scalability.
Lead integration of data from enterprise systems, SaaS platforms, APIs, and on-premises sources.
Define data models optimized for analytics, reporting, and advanced analytics use cases.
Data Governance, Security & Quality
Implement enterprise-grade data governance using Databricks Unity Catalog.
Establish data lineage, access controls, metadata management, and security policies.
Ensure compliance with healthcare security and regulatory standards where applicable.
Build data quality monitoring, observability, and reliability frameworks.
Strategy & Stakeholder Engagement
Develop long-term data platform strategy aligned with organizational goals.
Drive cloud data modernization and optimization initiatives.
Collaborate with business stakeholders to translate requirements into scalable solutions.
Support BI and analytics teams with governed, high-quality datasets.
Mandatory Technical Requirements
Strong hands-on experience with:
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
Proven experience designing enterprise-scale data pipelines and lakehouse architectures.
Mandatory expertise in Databricks Unity Catalog, including governance implementation, lineage tracking, access control policies, and metadata management.
Strong experience in ETL/ELT development, data warehousing, and dimensional data modeling.
Advanced proficiency in Python, SQL, Spark, JSON, and modern data engineering frameworks.
Experience integrating enterprise systems such as ERP, CRM, and healthcare/SaaS platforms where applicable.
Solid understanding of data governance, security protocols, RBAC, data lineage, and data quality practices.
Experience working in Agile environments with DevOps, CI/CD pipelines, and version control tools (Git, Jenkins, Jira).
Preferred Qualifications
Experience in healthcare, diagnostics, or regulated data environments.
Experience implementing large-scale cloud data modernization programs.
Exposure to real-time data pipelines, streaming platforms, and API-driven architectures.
Experience with BI/visualization tools such as Power BI, Tableau, or similar platforms.
Strong stakeholder communication and consulting experience.
Experience mentoring distributed or global teams.
Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Key Competencies
Technical leadership and mentoring capability
Strategic thinking and data architecture expertise
Strong problem-solving and analytical skills
Excellent communication and stakeholder management
Ability to balance hands-on engineering with leadership responsibilities
Top Skills
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
JSON
Python
Spark
SQL
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