Cloud Data Engineer Senior Lead

3 days ago

Chicago, Illinois, United States Elevance Health Full time
Job Title: Cloud Data Engineer Senior Lead

At Elevance Health, we are seeking a highly skilled Cloud Data Engineer Senior Lead to join our team. As a key member of our data engineering team, you will be responsible for leading the end-to-end application system development and maintenance on large complex enterprise-wide technology platforms.

Key Responsibilities:
  • Lead the design, implementation, and optimization of our cloud-based data infrastructure, ensuring scalability, performance, and security.
  • Develop and own list of final enhancements.
  • Develop and define application scope and objectives and supervise the preparation of technical and/or functional specifications.
  • Perform technical design reviews and code reviews.
  • Ensure unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan.
  • Responsible for delivery of application technology solutions and data information planning effort.
  • May participate in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems.
  • Partners with technical and non-technical stakeholder to identify the long-term technical trajectory of the technology infrastructure.
  • Creates architecture and anticipates future technology needs.
  • Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers.
  • Coordinates and manages on-call support and owns the system monitoring process.
  • Reviews and monitors initiatives for end-to-end impact and coordination.
  • Participates in review and decision making for enterprise solutions.
Requirements:
  • Requires an BA/BS degree in Information Technology, Computer Science or related field of study a minimum of 9 years' experience; multi-dimensional platform experience, expert level experience with business and technical applications; or any combination of education and experience, which would provide an equivalent background.
  • Preferred Skills, Capabilities, and Experiences:
    • Experience mentoring others drive teams to achieve results, lead multiple or large projects and provide troubleshooting supports strongly preferred.
    • Proficient in data modeling, data structures (e.g., relational, and non-relational data), databases, and ETL/ELT processes and an in-depth understanding of large-scale data sets including both structured and unstructured data with a solid track record of developing and executing data strategies that support business objectives.
    • Proficient in designing, implementing, and delivering scalable data solutions and pipelines on one of the cloud platforms (e.g., AWS, Azure, GCP)
    • Experience evaluating product feasibility and integrate new technologies into current frameworks.
    • Expertise in evaluating existing frameworks and providing solutions to improve and modernize.
    • Hands-on experience in the development, deployment, and operation of integration technologies (e.g., APIs)
    • Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query, etc.)
    • Experience with containerization technologies (e.g., Docker, Kubernetes)
    • Experience with DevOps, Git, Bitbucket, CI/CD.
    • Expertise in designing and implementing data tokenization.
    • Exceptional analytical, problem-solving, and project management skills.
    • Excellent communication and interpersonal abilities, capable of effectively leading a team and collaborating with various stakeholders.
    • Healthcare experience is preferred.

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