Head of Data Platform

Key Responsibilities:

● Lead and mentor a team of data engineers, ensuring high performance and career growth.

● Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

● Drive the development and implementation of data governance frameworks and best practices.

● Work closely with cross-functional teams to define and execute a data roadmap.

● Optimize data processing workflows for performance and cost efficiency.

● Ensure data security, compliance, and quality across all data platforms.

● Foster a culture of innovation and technical excellence within the data team.

Required Skills & Experience:

● 12+ years of experience in software/data engineering, with at least 3+ years in a leadership role.

● Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS,

GoLang, JavaScript, HTML, and 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.

● Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring

Boot or Google Guice

● Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing

frameworks.

● Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery

● Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).

● Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.

● Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana,

and ELK.

● Proven ability to drive technical strategy and align it with business objectives.

● Strong leadership, communication, and stakeholder management skills.