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**Data & API Platform Engineering Group Manager** Lead Data & API Engineering teams, balancing strategic management with hands-on technical leadership. Oversee enterprise-scale cloud data pipelines and API ecosystems. Key responsibilities include mentoring engineers, driving Agile delivery, leading on-prem to cloud migrations, and building secure APIs. Requires 6+ years of Apache Spark (PySpark/Scala), Spark on Kubernetes, and 4+ years of managing data + API engineering teams. Prefer AWS certifications. Full-time role in Irving, Texas.
- Compensation
- $156,160 – $234,240 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
Data & API Platform Engineering Group Manager
Job Req Id:
26980434
Location(s):
Irving, Texas, United States
Job Type:
Hybrid
Posted:
Jul. 22, 2026
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Job Overview
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+ yearshands-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+ yearsmanaging 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
Bachelors or Masters 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.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Data Analytics------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
Irving Texas United States------------------------------------------------------
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citis 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.
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Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Anticipated Posting Close Date:
Aug 09, 2026------------------------------------------------------
Automated Processing and AI
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.
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