Data & API Platform Engineering Group Manager

We are seeking a highly skilled, technically robust Group Manager to lead our Data Engineering and API Development teams. In this pivotal role, you will balance strategic people management with deep, hands-on technical leadership to oversee the design, development, and execution of enterprise-scale cloud data pipelines and robust API ecosystems.

The ideal candidate possesses a strong, active background in distributed computing (Apache Spark, Databricks) and cloud-native orchestration (Spark on Kubernetes/EKS, MWAA). A critical focus of this role will be leading the migration of legacy on-premises data workloads to the cloud, requiring a solid understanding of secure hybrid cloud networking (AWS Direct Connect, AWS PrivateLink), modern data warehousing (Snowflake, S3, Glue), and API development. You will drive agile delivery, mentor engineers, conduct code reviews, and collaborate with cross-functional stakeholders to deliver high-performance, secure, and scalable data solutions.

Key Responsibilities:

• Mentor & grow data + API engineers; drive Agile delivery (Scrum/Kanban); manage performance, capacity, and hirin

• Hands-on Apache Spark (PySpark/Scala) development; Spark on Kubernetes (EKS); data lake/warehouse on S3, Glue, Snowflake, Databricks; MWAA orchestration

• Lead on-prem (Hadoop, Teradata, RDBMS) to cloud migrations; secure hybrid connectivity via AWS Direct Connect & PrivateLink

• Build RESTful/gRPC APIs; microservices architecture; API gateway integration; OAuth2/OIDC authentication

• Enforce CI/CD (GitOps), code quality standards; optimize cloud costs (Databricks, Snowflake, EKS); ensure GDPR, CCPA, SOC2 compliance

Required Qualifications & Skills:

Technical Skills

• 6+ years hands-on Apache Spark (PySpark/Scala) — internals, tuning, DataFrames

• Spark on Kubernetes (EKS) deployment & management

• AWS: S3, Glue, MWAA, PrivateLink, Direct Connect

• Data Platforms: Snowflake, Databricks (Delta Lake / Lakehouse)

• API Engineering: Java/Python/Go, Apigee/Kong, microservices

• DevOps: Docker, Kubernetes, Helm, Jenkins/GitLab CI/GitHub Actions

• 4+ years managing engineering teams (data + software/API)

Leadership & Management Skills

• Management Experience: 4+ years of experience directly managing engineering teams (preferably managing both data and software/API engineers).

• Stakeholder Management: Excellent communication skills with the ability to translate complex technical concepts to non-technical business stakeholders.

• Strategic Thinking: Ability to align technical roadmaps with broader business objectives and drive execution.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

• 10+ years of overall experience in software engineering and data engineering, with a focus on cloud-scale data platforms.

Preferred Qualifications

• Active certifications in AWS (e.g., AWS Certified Data Engineer, Advanced Networking, Solutions Architect), Databricks, or Snowflake.

• Experience with data mesh concepts and data governance frameworks in highly regulated industries (e.g., Finance, Healthcare).

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

------------------------------------------------------

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.