Data Platform Specialist / Job Requisition 1023734080

Alameda Alliance for Health

Alameda (CA)

Hybrid

USD 142,000 - 213,000

Full time

13 days ago
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Job summary

Alameda Alliance for Health seeks an experienced Data Platform SME to lead enterprise data platform design, architecture, and modernization efforts. You will guide data engineering and analytics teams, set technical roadmaps, and ensure regulatory alignment while leveraging AI and advanced analytics.

Ideal candidates bring deep data platform expertise, strong SQL and SSIS experience, and a proven ability to deliver scalable, secure healthcare data solutions.

Qualifications

  • Bachelor's degree or equivalent work experience.
  • 7–10 years in data engineering, data platform development, Technical Lead or SME roles.
  • 3+ years acting as technical lead, architect, or SME.

Responsibilities

  • Design, implement, and optimize data ingestion, storage, processing, and analytics systems.
  • Support data pipelines enabling analytics and AI/ML use cases.
  • Lead ETL initiatives and own platform-wide data tooling decisions.
  • Provide governance, security, and best practices across the platform.

Skills

Data platforms
Azure cloud
AI analytics
SQL & data warehousing
Big data tools
Data governance
Analytical skills
Business requirements
Ownership mindset
Collaboration

Education

Bachelor's degree

Tools

SSIS Packages
Spark
Databricks
Snowflake

Job description

Brief Description

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.

Hybrid: Applicants must be a California resident as of their first day of employment.
Principal Responsibilities
  • 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

Equal Opportunity Statement

The Alliance is an equal opportunity employer and makes all employment decisions on the basis of merit and business necessity. We strive to have the best-qualified person in every job. The Alliance prohibits unlawful discrimination against any employee or applicant for employment based on race, color, religious creed, sex, gender, transgender status, age, sexual orientation, national origin, ethnicity, citizenship, ancestry, religion, marital status, familial status, status as a victim of domestic violence, assault or stalking, military service/veteran status, physical or mental disability, genetic information, medical condition, employees requesting accommodation of a disability or religious belief, political affiliation or activities, or any other status protected by federal, state, or local laws.

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