Google Cloud Platform Data Solution Architect with Bigquery Exp

Google Cloud Platform Data Solution Architect

St Louis, MO (Remote)

Long Term Contract

Job Details:

Role Overview:

The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and managing the data solutions. The DSA will work in a collaborative team environment to assess requirements, define data/technical strategy and deliver solutions.

Key Responsibilities:

• Review/Assess existing data architecture and platform components, and define potential future data architecture roadmap/direction aligning to business objectives, data integrity, availability and security
• Discover, analyze and scope data requirements & create high level process models to represent processes for the area under analysis
• Hands on Data Modeling for Operational Data Store and Data Warehouse applications HL7 to Target Data Model and Target Data Model to FHIR Mapping
• Extensive Extracts strategy and reusable framework design

Qualification & Skills Required:

• Bachelor's or Master's degree preferably in Computer Science or Information Technology or related field
• 10+ years of experience in data strategy, architecture, data integration with at least 5 years in Architect role
• Healthcare domain experience
• Proven experience designing and implementing enterprise-scale data architectures
• Strong experience in modern data architecture patterns
• Strong hands-on experience with cloud data solutions. Particularly with Google Cloud Platform services like BigQuery, DataForm, Dataproc, DataFlow, CloudSQL, Spanner, etc
• Implementation experience of cloud architecture patterns
• Expertise in ETL/ELT Tools, Services and frameworks for handling large scale data processing
• Exposure various data integration patterns supporting batch, near realtime, real time with hands on implementation experience including Tools, API, pub/sub, etc
• Hands on reusable extracts framework and components design
• Hands on third party integration experience with Salesforce, etc
• Experience with Microservices architecture preferred
• Proficiency in programming languages and scripting for automation
• Strong Data Modeling experience
• Proficiency with a range of database systems and hands on experience in data warehousing technologies
• Strong interpersonal and communication skills