Role Overview :
We are seeking a Manager Data Platform Engineering to lead a high-performing team of data engineers and platform developers. The ideal candidate combines strong people leadership with deep technical expertise in cloud-native data infrastructure, ETL pipelines, IaC, DevOps, and unstructured data lake design. This role reports into senior technical leadership and contributes directly to product evolution and platform scalability.
Your Responsibilities :
Leadership & Team Development :
- Lead, coach, and grow a team of 8- 12 Data Engineers and Platform Engineers.
- Conduct performance reviews, career development planning, and mentoring.
- Align team efforts with product roadmap and business objectives.
- Foster a strong engineering culture around ownership, collaboration, and innovation.
Engineering Execution :
Architect and scale data platform infrastructure, ensuring it supports growth, security, and performance expectations.Guide development of scalable ETL / ELT pipelines, real-time streaming data integrations (Kafka), and unstructured data lake solutions.Promote Infrastructure-as-Code (IaC) using tools like Terraform or CloudFormation.Work closely with DevOps to integrate CI / CD pipelines, enable automation, and maintain containerized environments using Docker and Kubernetes.Ensure full adherence to security, governance, and regulatory requirements (GDPR, SOC2, etc.).Strategic Collaboration :
Act as a key liaison between engineering and cross-functional partners including Product Management, Architecture, QA, UX, and DevOps teams globally.Collaborate on planning, prioritization, release readiness, and roadmap alignment.Manage risks, dependencies, and communicate updates to leadership.Quality & Process Management :
Ensure team delivers high-quality, well-tested, and secure data solutions.Implement coding standards, technical documentation, and continuous improvement practices.Track sprint velocity, monitor OKRs, and lead post-mortems when needed.Required Qualifications :
10- 15 years of total experience in data engineering, platform engineering, or cloud architecture.3+ years of experience leading high-performing teams in a cloud-native, fast-paced product organization.Strong technical skills with :1. Cloud & Data Infrastructure : AWS (S3, Redshift, Glue, Lambda, EMR), Kafka
2. Languages & Tools : Python, SQL, dbt, Terraform (or similar), Docker, GitHub Actions, Jenkins
3. Data Platforms : Snowflake, Airflow, Lakehouse Architecture
Unstructured Data : Experience working with queryable unstructured data lake storesFamiliarity with CI / CD pipelines, containerization, and cloud cost optimization.Experience with multi-tenant SaaS platforms or global enterprise data environments.Nice to Have :
Prior experience working in regulated industries or on platforms with high data privacy requirements.Exposure to data governance frameworks and modern data stack technologies.Agile methodology expertise with tools like Jira, Confluence, and GitLab.(ref : hirist.tech)
