Cloud Solution Architect

Key Skills

Apache Hadoop, AWS, Big Data Technology, Data Architecture, Data Governance, Data science techniques, Database, Databricks, Effective communication skills, ETL/ELT technologies, Java Programming, Machine learning techniques, MLOps tools, Python Programming, SDLC, SPARK Programming, SQL, US Healthcare Recruitment

Job Description

As a ​Cloud Solution Architect at Gainwell, you will drive a cloud based data platform architecture that will power business intelligence and advanced analytics. 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.

Your role in our mission

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.

• Provide thought leadership and technical direction to the data engineering team in building analytic data products 
• Understand and translate business requirements to data strategies that align with overall technology vision
• Design, develop and enforce standards for the data storage, processing and governance across all environments
• Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns
• Develop, document and maintain overall view of data platform architecture, data acquisition, data quality, and data retention
• Provide formal and informal training for data engineers, platform engineers and ETL developers
• Maintain knowledge of emerging technologies and architectures
• Document and publish technical principles and standards, and mentor the data engineering team to incorporate them into their daily practices
• Champion and present the technical vision to the executive team and business stakeholders

What we're looking for

• Bachelor's degree with a preferred area of study in information technology, computer science, computer engineering or related fields
• 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
• 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
• 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 a big plus
• Experience with Machine Learning & MLOPs is a big plus
• Strong presentation and written communication skills.
• Strong client and Gainwell 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

Preference to candidates with:

• Healthcare domain (Medicaid or Medicare).
• Ability to start at short notice.

What you should expect in this role

• Hybrid Office environment.
• Fast-paced,challenging and rewarding work environment.
• Work life balance.
• Will require late evening work to overlap US work hours.