Data Engineering Senior Manager - HIH - Evernorth

Position Summary:

Cigna, a leading Health Services company, is looking for a Senior Manager in our Data & Analytics organization. The Sr. Manager would be responsible for the delivery of a business need, end-to-end starting from understanding the requirements for deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Sr Manager, among others, are coaching and mentoring, team empowerment, rational decision making, driving creativity and innovation, and taking pride in ownership and accountability. In addition to delivery, the Sr Manager should have an automation first and continuous improvement mindset. He/She should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes. This role requires close collaboration with various teams to gather data requirements, build scalable data pipelines, and ensure the overall solution is reliable, available, and optimized for high performance.

Job Description & Responsibilities:

The Senior Manager will lead a team of highly talented individuals and be responsible for the design, development, and testing of Individual & Family Retail Health Insurance applications and their components. This includes working with complex enterprise systems and external vendor systems, utilizing automation scripts alongside unit, integration, and performance testing. In this role, your primary responsibilities will include developing and executing the data engineering strategy, driving data architecture initiatives, and overseeing the design and implementation of scalable data products. Collaboration with cross-functional teams will be essential to ensure data quality, integrity, and availability while promoting best practices for data management. This leadership position requires a strong technical background in data engineering, exceptional management skills, and the ability to thrive in a fast-paced, results-oriented environment. As a leader of leaders, you will play a crucial role in guiding and mentoring your team, fostering their professional growth, and ensuring they have the necessary resources and support to effectively lead their respective teams.

Qualities:

• Analytical Skills: Candidate must have strong analytical skills and be able to recognize the needs of customers and create simple solutions that answer those needs.

• Communication: Candidate must be able to clearly communicate their ideas to peers, stakeholders, and management.

• Creativity: Creativity is needed to help invent new ways of approaching problems and developing innovative applications as well as bringing experience from other industries.

• Customer-Service: If dealing directly with clients and customers, candidate would need good customer service skills and consultant mentality to answer questions and fix issues.

• Attention to Detail: Applications have many parts and all must work together for the application to function.

• Problem-Solving: As issues come up, candidate must be able to make decisions that move the project forward.

• Teamwork: Candidate must work well with others as part of a distributed agile (SAFe) team of engineers, analysts, product owner, and scrum master.

• Technical Skills: Candidate must be adept in computer languages and have strong technical aptitude. Must have a solid knowledge with common design patterns should seek out opportunities to implement design patterns.

• Leadership Skills: Candidate is expected to lead by example, exhibiting technical excellence and development of expert level business domain knowledge. Influences technical direction within the ART and across ARTs. Advocates for a shared technical vision, enables others to act to fulfill the vision. Challenges existing processes through relentless improvement.

Responsibilities:

• Lead and manage a team of data engineers, providing mentorship, guidance, and support. Establish clear goals and expectations for the team, ensuring alignment with the organization's objectives.

• Develop and maintain scalable data pipelines using AWS services and Databricks. These processes are designed to extract data from multiple sources, transform it into meaningful formats, and load it into data lakes or downstream systems.

• A key aspect of this responsibility is ensuring that data is accurately cleaned, transformed, and loaded to enable consistent and reliable analytics and reporting along with designing data storage systems that scale, perform well, and meet the organization’s purge and archive requirements.

• Implement monitoring and alerting systems to proactively detect and resolve issues within data pipelines and oversee data storage and processing activities, ensuring optimal performance by addressing operational challenges.

• Enable a 360-degree view of customer-centric information through integration of a multitude of internal/external systems, mobile apps, devices, and data marts.

• Ability to implement test driven development with strong focus on automation testing.

• Support and enhance existing Individual & Family Retail Health Insurance applications used by consumers as well as operations staff.

• Communicate effectively with both technical and non-technical stakeholders, effectively translating complex concepts into clear and actionable insights.

• Plan, oversee, and execute data engineering projects, ensuring timely delivery within allocated budgets. Define project scope, objectives, deliverables, and timelines, while appropriately allocating resources.

Skillset:

Sr Manager should have 13 to 16 years of experience and should be very familiar with advanced concepts and have relevant experience in many of the following areas:

Management and Leadership Experience.

• 5+ years of engineering management experience with a track record of building and leading high-performing teams

• Proven experience managing remote and distributed engineering teams

• Strong coaching and mentoring skills with experience developing engineers at different career stages

• Experience working in dynamic environments with rapid growth and changing priorities

Technical Expertise

• Proven experience in AWS Cloud Services such as AWS Glue, ECS/EKS, Fargate, Redshift/Aurora/DocumentDB, ECR, S3, Lambda, SNS, IAM etc.

• Proficient in Databricks DLT (Delta Live Tables) and workflows, SQL, Spark, Python and/or PySpark, Java or other relevant programming languages for data engineering workloads.

• Experience with Databricks orchestration frameworks – Internal Databricks workflows or external Apache Airflows (DAGS).

• Solid understanding of data integration strategies, ELT/ETL techniques, and data warehousing principles. Prior experience of ELT/ETL workflows such as Informatica would be useful in analysis of existing systems and their pain points to mitigate them in the future state data architecture.

• Strong analytical and problem-solving capabilities, with expertise in diagnosing complex data issues and optimizing pipeline performance and reliability.

• Build quality production grade pipelines that factor in performance, security, usability, reliability, and observability techniques.

• Experience in performance tuning of applications that involves threading, indexing, clustering, and caching. Expertise in loading billions of files across millions of partitions and resolving performance bottlenecks on AWS Databricks.

• Strong knowledge of partitioning strategies, metadata management, and file formats (Delta Lake, Iceberg, Apache Hudi).

• Experience with document databases (e.g., DocumentDB) and JSON/XML source data.

• Exposure to Lakehouse concept and dimensional modeling & Data Vault for scalable data structures.

• Skilled in real-time data ingestion, transformation, and data quality checks.

• Experience in converting on-premises pipelines to Databricks DLT (Delta Live Tables) for efficient cloud processing.

• Knowledge of reporting/BI tools such as Tableau would be plus.

• Knowledge of data governance, lineage, and catalog tools such as Alation, Colibra, or any other would be plus.

• Knowledge of data modeling and various structured/non-structured databases. Understanding of OLTP, OLAP concepts, normalization, denormalization, how business use cases drive data model design and implementation.

Qualifications:

Bachelor’s degree in computer science or a related discipline strongly preferred, typically thirteen or more years of solid, diverse work experience in IT with a minimum of eight years’ experience application program development, or the equivalent in education and work experience. Ideal candidate will have relevant experience either as a consultant or working for a start-up company.

About Evernorth Health Services