Lead Data Platform Engineer

FinThrive; United States; On-site; USD 100,000 - 720,000; Full time

Job summary

Join a forward-thinking company as a Technical Lead in Data Engineering. This role emphasizes hands-on leadership, guiding a team of skilled engineers to innovate and enhance data solutions. You will collaborate closely with product management to align technical implementations with business needs, ensuring the highest quality of product functionality. Your expertise in big data technologies, cloud environments, and Agile methodologies will be crucial as you drive the team's growth and development. This position offers a unique opportunity to make a significant impact in a dynamic and evolving industry, particularly within healthcare. If you're ready to take on this challenge and lead a talented team, we want to hear from you!

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 8+ years of experience in Data Engineering with big data technologies.
• Expertise in SQL and Data analysis with a strong understanding of cloud platforms.

Responsibilities

• Lead a top-tier team of data and quality engineers.
• Own product technical roadmap and ensure delivery on commitments.

Skills

Data Engineering

Python

SQL

Scala

Agile Software Development

Leadership

Problem-solving

Communication

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

Databricks

Snowflake

Hadoop

Spark

Azure

SQL Server

Job description

This is a hands on Technical (Code reviews and getting involved with projects) "Getting your hands dirty" and People managing position.

H1B and Visa will not be used for this position.

What you will do

• Lead an existing top-tier team of data and quality engineers
• Partner with product management and other technical leaders to help shape the product and technical roadmaps, ensuring a strong connection between technical implementation and business need
• Work with your senior team members and other SME’s to develop and maintain both technical- and business-level documentation for all processes within this data platform and how they intersect with other aspects of the overall system
• Participate in the development of new technical/business solutions along with refinement of existing processes
• Participate in planning for current and future engineering cycles and ensure delivery on all commitments
• Participate in technical analysis, architecture reviews and feature readiness for teams
• Own product technical roadmap including performance, security and architecture improvements
• Provide necessary support to team members to ensure that the development meets functional requirements and project timelines
• Drive the growth and development of the engineering team through strategic management, coaching, and skill development initiatives.
• Be accountable for architecture and quality of all product functionality
• Develop plans to increase automation and effectiveness to minimize production breaks and shorten release cycle
• Prioritize and resolve customer-reported bugs within the established timelines.

What you will bring

• 8+ years of experience in Data Engineering, with big data technologies like Databricks, Snowflake, Hadoop, Spark, Hive, or similar
• Deep understanding of how to operate a big data platform in a cloud environment, such as cost management and operating within PaaS tools
• Strong coding skills in Python/Scala/SQL or equivalent
• Experience leading data engineering practices within a regulated industry and ensuring compliance with applicable contractual commitments, regulatory obligations, and applicable law
• Expertise in SQL and Data analysis
• Experience building, governing, and scaling data warehouses/lakes/lake houses
• Experience managing teams using Agile Software Development Life Cycle, Scrum methodology, and DevOps principles and tracking productivity KPIs
• Excellent communication, presentation, leadership, problem-solving and analytical skills
• Excellent written and verbal communication skills

What we would like to see

• Experience in managing globally distributed remote development teams
• Azure experience as it pertains to PaaS (Platform as a Service) offerings (Synapse, Data Lake, DataBricks, Data Factory, Event Hubs, CosmosDB, etc.)
• Masters or bachelor’s degree in Computer Science or Data Science or a related field
• Strong understanding of data science, machine learning, and generative AI principles
• 6+ years’ experience in Data Engineering and/or Software Engineering
• Experience with Azure Databricks, AKS, SQL Server
• Familiarity with adjacent technologies used in software development, particularly C#, .NET, and Angular
• Experience with Healthcare Revenue Cycle concepts

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

Referrals increase your chances of interviewing at FinThrive by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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