Description Hybrid: Applicants must be a California resident as of their first day of employment.PRINCIPAL RESPONSIBILITIES:We are seeking an experienced Data Platform SME who provides subject matter expertise and technical leadership for the enterprise data platform. This role supports the design, implementation, and optimization of scalable and secure data solutions while ensuring alignment with business and regulatory requirements.
Principal responsibilities include:
- Serving as the Subject Matter Expert (SME) for the enterprise data platform
- Acting as the technical authority for data platform design and architecture decisions
- Defining, owning, and evolving the data platform architecture and technical roadmap
- Providing technical leadership and guidance to data engineering and analytics teams
- Advising on the use of AI and advanced analytics within the data platform to support enterprise solutions
- Establishing and enforcing data standards, governance, security, and best practices
- Lead the ETL initiatives and own the Applications from SME perspective
- Expertise in understanding SSIS Packages and provide technical expertise to modernize
- Owning platform-wide decisions related to data tooling, frameworks, and integration patterns
- Partnering with business and technical stakeholders to align data solutions with business needs
- Serving as an escalation point for complex, cross-team data platform issues
- Apply working knowledge of healthcare data and regulatory considerations to ensure the data platform supports healthcare workflows, analytics, and privacy requirements
ESSENTIAL FUNCTIONS OF THE JOB- Design, implement, and optimize data ingestion, storage, processing, and analytics systems
- Support data pipelines that enable analytics and AI/ML use cases
- Collaborate with ETL developers to integrate data and analytics solutions into enterprise applications
- Ensure data quality, reliability, availability, and performance across the platform
- Troubleshoot and resolve complex data platform issues and lead root-cause analysis
- Evaluate, recommend, and implement data platform technologies and enhancements
- Support scalability, cost optimization, and operational efficiency of data systems
- Create and maintain technical documentation and architectural standards
- Mentor team members and promote data platform best practices
PHYSICAL REQUIREMENTS- Constant and close visual work at desk or computer.
- Constant sitting and working at desk.
- Constant data entry using keyboard and/or mouse.
- Frequent use of telephone headset.
- Constant verbal and written communication with staff and other business associates by telephone, correspondence, or in person.
- Frequent lifting of folders and other objects weighing between 0 and 30 lbs.
- Frequent walking and standing
MINIMUM QUALIFICATIONS:EDUCATION OR TRAINING EQUIVALENT TO:- Bachelor's degree or equivalent work experience required.
MINIMUM YEARS OF ADDITIONAL RELATED EXPERIENCE:- 7-10 years of experience in data engineering, data platform development, Technical Lead or SME roles
- 3+ years of experience acting as a technical lead, architect, or subject matter expert
SPECIAL QUALIFICATIONS (SKILLS, ABILITIES, LICENSE):- Deep expertise in data platforms (data lakes, data warehouses, lakehouse architectures)
- Strong experience with cloud-based data ecosystems (Azure)
- Working knowledge of AI and advanced analytics concepts sufficient to guide enterprise use cases
- Advanced proficiency in SQL, data modeling, SSIS Packages and Datawarehousing principles
- Hands-on experience with big data and analytics tools (e.g., Spark, Databricks, Snowflake)
- Knowledge of data governance, security, privacy, and compliance frameworks
- Strong analytical, problem-solving, and communication skills
- Ability to translate business requirements into scalable technical solutions
- Ownership mindset with accountability for delivering scalable, secure data platform solutions
- Curiosity to collaborate across teams and build understanding of healthcare data and business context
- Continuous learning to effectively support modern data and AI-enabled solutions
SALARY RANGE: $142,043.20 - $213,075.20 Annually 
