Data Engineering Senior Manager

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 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 Evernorth Health Services a division of The Cigna Group creates pharmacy care and benefit solutions to improve health and increase vitality We relentlessly innovate to make the prediction prevention and treatment of illness and disease more accessible to millions of people Join us in driving growth and improving lives