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Experienced Solution Architect
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development.
You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary As a(n) Advisor Solutions Architect at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.
At Gainwell, it’s easy to see the positive impact of what we do. The passion you bring to your career ultimately benefits the lives improved by services we provide to our clients. We encourage you to challenge yourself, learn and grow in a company that thrives on innovation. We go beyond entering new arenas to shaping markets with transformational experiences that redefine our business. The difference is clear.
Your role in our mission
- 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
- 8+ years of overall experience in big data, database and enterprise data architecture, delivery and programming proficiency in a subset of Python, Java, and Scala
- 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms, building solutions on distributed processing frameworks such as Spark, Hadoop
- 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.
- 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
- Fast-paced, challenging and rewarding work environment.
- Remote work opportunity within US.
- Video cameras must be used during all interviews, as well as during the initial week of orientation.
- This posting is intended for pipelining. We will accept applications on an ongoing basis
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
