Cloud Data Platform Solution Architect Jobs (NOW HIRING)

Position: Cloud Data Platform – Solution Architect  

Location: Remote (Needs to travel to client site when required with your own expenses)

Duration: Long term contract

Job Summary:

We’re looking for a Solution Architect to join our product development team to drive a cloud based da-ta platform architecture that will power BI and advanced analytics. You will have a direct impact on the design, architecture, and implementation of BI and data science use cases. The ideal candidate will have industry-leading programming skills and established knowledge of implementing, designing, deploying, and maintaining big data analytics platforms in a cloud environment.

The solution architect will use knowledge of healthcare data to influence the implementation and governance of our data architecture. Your designs will account for data movement, storage, compute and BI consumption, and will comply with security and data governance standards. You will work closely with a variety of partners within the Data and Analytics organization.

Experience:

• 8+ years of overall experience in big data, database and enterprise data architecture and delivery
• 8+ years of programming proficiency in a subset of Python, Java, and Scala
• 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks
• 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
• 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Roles & Responsibilities:

• Reviews, analyzes and evaluates data/systems business requirements for existing and new development.
• Documents technical and business specifications and functional needs and modifies existing requirements
• Leads the data analysis and profile efforts for new client implementations and system enhancements.
• Facilitates technical meetings with IT and business project team.
• Provides data mappings, user interface specifications, processing logic as per business requirements to the Developer.
• Communicates with clients, developers and other team members.
• Tests development efforts and assists clients in user acceptance testing.
• Creates and maintains a project plan, documents meeting notes and distributes to team.
• Provides regular status reports to clients, developers, and management as needed.
• Provides mentorship and guidance to junior Analysts on the team as needed.

Qualification & Experience:

• Bachelor's degree with a preferred area of study in information technology, computer science, computer engineering or related fields.
• 10+ years of experience working with datasets with strong understanding on how data should be optimized within transactional, reporting, and big data architectures.
• 7+ years of experience in health care industry working with extensive amounts of healthcare data (claim and clinical sides) and major databases
• 8+ years of overall experience in big data, database and enterprise data architecture and delivery
• 8+ years of programming proficiency in a subset of Python, Java, and Scala
• 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks
• 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
• 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Technical Skills:

• Strong SQL skills to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data
• management, etc.) and visualization tools to bring data literacy to the organization.
• Practical experience on workload management, monitoring, and performance tuning Apache Spark jobs
• Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture and slowly
• changing dimensions
• Experience with healthcare data is a big plus
• Experience with Machine Learning & MLOPs is a big plus

Additional Qualifications

• Strong presentation and written communication skills.
• Strong client and internal team relationship management to understand personal perspectives and become a trusted advisor
• Ability to develop professional relationships
• Ability to be a high-impact player on multiple simultaneous engagements
• Willingness to travel