Data & API Platform Engineering Group Manager

About the role

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.

Responsibilities

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

Requirements

• 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.

Qualifications

• 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).