Lead Data Engineer
Amtech Software (company site, opens in a new tab)10+ yrsOn-siteDirect career pageEst. 28–45 LPA
Posted on 30 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture and scalability of Amtech Cloud Data Platform (ACDP) supporting analytics, ML, and AI agent use cases.
- Lead design, governance, and technical direction of multi-tenant data warehouses, tenant registries, and hybrid AI data layers ensuring data security and routing between cloud, hybrid, and on-prem environments.
- Mentor data engineering team, set engineering standards, drive automation, and engage with cross-functional stakeholders on platform roadmap and AI data enablement.
Minimum Requirements
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 10+ years in data engineering/software development with 3+ years in technical lead or architect role.
- Expertise with data warehousing platforms (e.g., Snowflake, Redshift, BigQuery), programming in Python/Java/Scala, orchestration tools (Airflow, dbt, AWS Glue), and cloud platforms (AWS, Azure, GCP).
- Experience with big data frameworks (Spark, Flink), streaming tools (Kafka, Kinesis), advanced SQL/NoSQL, and data governance standards.
Ideal Candidate Profile
- Experienced leader in designing and implementing multi-tenant data architectures and hybrid AI data platforms balancing cloud acceleration and on-prem control.
- Strong technical skills in large-scale, complex data pipelines and hybrid cloud/on-prem deployment models supporting AI and ML workloads.
- Demonstrated ability to set data security, classification, governance, and observability standards while mentoring teams and collaborating across functions.