Head of Data Platform (Data Engineer + Backend)

Role: Head of Data Platform

Location:

Experience:

Role Overview

Head of Data Platform

Key Responsibilities

• Define and own the

  data platform vision, roadmap, and technical strategy

  aligned with business objectives
• Lead, mentor, and scale high-performing

  data and backend engineering teams

• Architect and review

  high-level (HLD) and low-level designs (LLD)

  for scalable, resilient systems
• Drive adoption of best practices in

  distributed systems, data processing, and cloud-native architectures

• Oversee implementation of

  data governance, security, privacy, and compliance

  frameworks (GDPR, SOC2, etc.)
• Collaborate closely with product, business, and leadership stakeholders to deliver impactful data solutions
• Ensure platform reliability, performance, cost optimization, and operational excellence
• Champion DevOps, automation, and observability across the data platform ecosystem

Required Skills & Experience

• 12+ years

  of experience in software and/or data engineering

• 3+ years

  of experience in engineering leadership or managerial roles
• Strong backend development expertise in

  Java, PHP, Python, Node.js, GoLang, JavaScript, HTML, CSS

• Proficiency in

  SQL, Python, and Scala

  for data processing and analytics
• Strong understanding of

  cloud platforms

  (AWS, GCP, or Azure) and their data services
• Solid foundation in

  HLD, LLD, and design patterns

  (Spring Boot or Google Guice preferred)
• Hands-on experience with

  big data and distributed systems

  : Spark, Hadoop, Kafka
• Experience with

  data warehousing technologies

  : Snowflake, Redshift, BigQuery
• Deep knowledge of

  data governance, security, and compliance

  standards
• Experience with

  NoSQL databases

  : Redis, Cassandra, MongoDB, TiDB
• Familiarity with

  DevOps and automation tools

  : Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, ELK
• Strong ability to translate

  business requirements into technical solutions

• Excellent leadership, communication, and stakeholder management skills

Nice to Have

• Experience building large-scale data platforms in high-growth or product-based environments
• Exposure to multi-cloud or hybrid cloud architectures
• Strong understanding of cost optimization and performance tuning for data systems