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Data Modeler /Data Architect

In United States

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Data Modeler /Data Architect   

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JOB TITLE:

Data Modeler /Data Architect

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

San Francisco, CA United States

JOB DESCRIPTION:

Job Requirement: - Data Modeler /Data Architect Location: SFO CA (It's a 100% remote position)   Functional: - 1) Ability to create Conceptual, Logical and Physical data models for New Subject areas related to health care.  2) Propose versatile solutions with the ability to understand and extend current Models with minimal supervision. 3) Solid Understanding and working knowledge of Healthcare Informatics specifically with HL7 FHIR (all levels). 4) Previous Experience in translating various healthcare data and IG into Entity Relationship models. 5) Ability to solve unstructured big data problems and help team/s with peer review and triage processes. 6) Adhere and recommend when needed to data governance and CI/CD best practices. 7) Solid communication skills and analytical skills to communicate with product and project teams.   Technical Skill Sets: - 1) Strong Database knowledge and work experience in dealing with multi-terabyte and high concurrent workloads.  2) 2+ years of experience related to MPP and/or Columnar database platforms like Redshift, Azure, Snowflake etc. 3) 4 years of experience with traditional OLTP database platforms like Postgres, MS SQL server etc... 4) Strong theoretical knowledge and practical exposure in creating and troubleshooting various database objects /techniques including but not limited to: - a) Define better indexing strategies b) Create optimal database triggers c) Work with stakeholders to come up with innovative UDF's d) Stored Procedures, data partitioning. e) Strong Distribution, clustering key concepts related to MPP platforms etc...  f) Brainstorm Query profiling, break down query plans etc. g) Come up with optimal storage patterns and designs for LOB data structures. 5) Previous experience in dealing with migration of high-volume databases from traditional database platforms to modern columnar (MPP) platforms. 6) Exposure in working with multi-tenant platforms. 7) Extensive experience in working with and advising data engineering teams related to high volume data ingestion and transformation pipelines.  

Position Details

POSTED:

Sep 25, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S1655150425020639

LOCATION:

United States

CITY:

San Francisco, CA

Job Origin:

OORWIN_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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Data Modeler /Data Architect    Apply

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Job Requirement: - Data Modeler /Data Architect Location: SFO CA (It's a 100% remote position)   Functional: - 1) Ability to create Conceptual, Logical and Physical data models for New Subject areas related to health care.  2) Propose versatile solutions with the ability to understand and extend current Models with minimal supervision. 3) Solid Understanding and working knowledge of Healthcare Informatics specifically with HL7 FHIR (all levels). 4) Previous Experience in translating various healthcare data and IG into Entity Relationship models. 5) Ability to solve unstructured big data problems and help team/s with peer review and triage processes. 6) Adhere and recommend when needed to data governance and CI/CD best practices. 7) Solid communication skills and analytical skills to communicate with product and project teams.   Technical Skill Sets: - 1) Strong Database knowledge and work experience in dealing with multi-terabyte and high concurrent workloads.  2) 2+ years of experience related to MPP and/or Columnar database platforms like Redshift, Azure, Snowflake etc. 3) 4 years of experience with traditional OLTP database platforms like Postgres, MS SQL server etc... 4) Strong theoretical knowledge and practical exposure in creating and troubleshooting various database objects /techniques including but not limited to: - a) Define better indexing strategies b) Create optimal database triggers c) Work with stakeholders to come up with innovative UDF's d) Stored Procedures, data partitioning. e) Strong Distribution, clustering key concepts related to MPP platforms etc...  f) Brainstorm Query profiling, break down query plans etc. g) Come up with optimal storage patterns and designs for LOB data structures. 5) Previous experience in dealing with migration of high-volume databases from traditional database platforms to modern columnar (MPP) platforms. 6) Exposure in working with multi-tenant platforms. 7) Extensive experience in working with and advising data engineering teams related to high volume data ingestion and transformation pipelines.  


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