Technical Owner, Data Engineering & Analytics

About the Role
Impact you will make
The ideal candidate will have a natural curiosity about solving problems – familiar with the complexity of healthcare datasets. They will be a critical thinker with advanced problem solving, data mining, and data engineering skills that enables them to answer ambiguous questions in data that help leaders make great data driven decisions. The successful candidate will work with highly collaborative teams and have direct influence over data engineering roadmaps.

What you will do
• Help Data Engineering & Analytics Leadership to develop and deliver long-term strategic Analytics goals, vision, standards and roadmap
• Participate in developing technical / business solutions. Recommend the right tool and technology to deliver solutions objectively
• Be responsible for developing project plans and monitoring progress against plan, ensuring on-time/on-budget in accordance with the project-specific requirements
• Build and lead a direct reporting team, contractors, and several aligned teams, ensuring appropriate staffing levels and skillset alignment to support the business and technology objectives
• Manage implementation of modern processes and technologies for continuous improvement in software development lifecycle (SDLC)
• Drive down technical debt, ensure that data pipelines are observable, scalable, reliable, and secure
• Improve data quality and integrity
• Drive adoption and standardization of data governance, lineage, cataloging, and stewardship practices across teams
• Collaborate with internal business stakeholders, customers, vendors, and consultants to define information needs, develop business cases and priorities, and manage service levels
• Conduct capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
• Manage the change request process, estimating the impact of each change request on project schedule, budget, and resources; Provide communication to project stakeholders regarding change impact
• Model a high-performance culture and cultivate an environment that promotes critical thinking, problem-solving, learning, collaboration, and experimentation across data engineering and analytics department

What you will bring
• Bachelor’s Degree in Computer Science, Data Engineering, or Applied Science
• 10+ years’ experience in Data Engineering and/or Software Engineering
• Expertise in big data technologies like Databricks, Hadoop, Spark, Hive, etc.
• Expertise in Power BI, Tableau, Cognos, Spotfire etc.
• Strong coding skills in Python/Scala/SQL or equivalent
• Expertise in SQL and Data analysis
• Expertise in infrastructure as code and automating production data pipelines
• Hands-on work in on-prem to cloud migration, preferably in Azure
• Azure experience as it pertains to PaaS (Platform as a Service) offerings (Synapse, Data Lake, DataBricks, Data Factory, Event Hubs, CosmosDB, etc.)
• Experience building, governing, and scaling data warehouses/lakes/lake houses
• Adept with agile software development lifecycle and DevOps principles
• Excellent communication, presentation, leadership, problem-solving and analytical skills

What we would like to see
• Master’s Degree in Computer Science, Data Engineering, or Applied Science


About FinThrive
FinThrive is advancing the healthcare economy.
For the most recent information on FinThrive’s vision for healthcare revenue management visit finthrive.com/why-finthrive.

Award-winning Culture of Customer-centricity and Reliability
At FinThrive we’re proud of our agile and committed culture, which makes FinThrive an exceptional place to work. Explore our latest workplace recognitions at https://finthrive.com/careers#culture.


Our Perks and Benefits
FinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits. For the most up-to-date offerings visit finthrive.com/careers-benefits.

FinThrive’s Core Values and Expectations

• Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities
• Support FinThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to FinThrive’s business practices; this includes becoming familiar with FinThrive’s Code of Ethics, attending training as required, notifying management or FinThrive’s Helpline when there is a compliance concern or incident, HIPAA-compliant handling of p