Lead Data Engineer
Confirmed live in the last 24 hours
Armada
Job Description
About the Company
About the role
We are seeking a highly motivated Lead Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Lead Data Engineer, you will play a pivotal role in shaping the future of our data platform — driving the architecture, strategy, and execution of data ingestion, processing, and analysis, while mentoring engineers and elevating the overall engineering culture. If you are a technically strong leader with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to own and deliver a next-generation computing and AI platform, we would love to hear from you.
Location. This role is office-based at our Trivandrum, Kerala office.
What You'll Do (Key Responsibilities)
- Lead the design, architecture, and delivery of tools and services that support data workflows, ingestion, processing, and distribution across teams.
- Define technical direction and best practices for the Data Platform team, driving alignment across engineering stakeholders.
- Mentor and grow a team of data engineers through hands-on collaboration, code reviews, and technical guidance.
- Own end-to-end architecture decisions for data tooling and services, balancing short-term delivery with long-term scalability and maintainability.
- Collaborate cross-functionally with a diverse group of engineers, product managers, and leadership — giving and receiving feedback to drive team growth.
- Identify and execute on high-impact opportunities that contribute to building a company at the forefront of the AI and Edge Computing industry.
Required Qualifications
- 12+ years of experience in software or data engineering, with at least 2 years in a technical lead or senior individual contributor role.
- Proven experience leading the design of data platforms, including data modeling, ETL/ELT processes, and streaming data pipelines at scale.
- Deep expertise with data warehousing technologies (Databricks, Snowflake, BigQuery, Redshift) and data processing platforms (Spark), including file formats like Avro
and Parquet.
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