Primary Responsibilities:

• Design innovative and best in class Data Architectures that comply with industry best practice and enterprise standards.

• Plan and manage data Ingress and Egress process implementations for platform development.

• Develop data pipelines to ingest and transform data using clean coding principles.

• Data Platform support in line with business SLA’s and MLRB (ML review board)

• Partner with Data Science, Engineers, and Product leaders to design standards for developing and deploying data analytic pipelines.

• Create roadmap and features for engineering to support development of robust recurring data ingress and egress process.

• Partner with Infrastructure leaders on architecture approaches to advance the data and AIML platform, including exploring tools and techniques that leverage the cloud environment (Azure, Snowflake, SDRP and others)

• Comply with data governance and data security regulations and policies.

• Understand & adhere to data integrity practices guided by enterprise security standards.

• Support the development of automated data ingestion capability for cloud agnostic platform that is auto scalable.

Required Qualifications:

• Bachelor’s Degree or higher in Database Management, Information Technology, Computer Science or similar

• 3 to 5 years of technical data management experience

• Strong knowledge of various data engines and experience in building scalable data solutions

• Enterprise platform or Data Architectural experience

• Experience with data engineering, azure ML, data bricks, spark, python, and AI/ML.

• Data Platforms and RDBMS with NoSQL, NewSQL and Data Streaming technology experience

• Data Integration Tools and Technologies

• Data Intelligence (AI / ML) and Data Science skills, tools, and technologies

• Experience using cloud database technologies (AWS, GCP, Azure)

• Experience with exposure to EDI, HIPAA, HL7 and FHIR integration standards

• Experience with Data Quality and Data Security process, tools, and technologies (DeeQu, Great Expectations etc.)

• Metadata management and Data Catalog management process, tools, and technologies (Hive Meta Store, Unity Catalog etc.)

• Exceptional soft skills – Analytical skills, Communication skills; Ability to influence outcomes without authority; Strategic thinking; Results orientation; Ability to learn fast; Teamwork and collaboration skills. See Less