Data Technical Lead

RAPSYS TECHNOLOGIES PTE LTD; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Mumbai is seeking an experienced Data Technical Lead to spearhead data engineering, architecture, and analytics initiatives. You will guide squads, design data pipelines, ensure quality and security, and mentor engineers to deliver robust solutions.

Strong hands-on skills in SQL and Python, data warehousing, orchestration, and cloud platforms are essential. This role requires clear leadership and ownership in cross-functional teams, with a focus on scalable,

Qualifications

• Strong hands-on in SQL and Python for data engineering.
• Solid data warehousing/lakehouse modeling and pipeline design.
• Proven experience with orchestration and CI/CD for data workloads.
• Working knowledge of data quality, testing, and observability practices.
• Cloud data platforms exposure (Azure/AWS/GCP) and container/orchestration basics.
• Clear communication, leadership, pragmatism, and ownership in cross-functional teams.

Responsibilities

• Own technical design and delivery for squads; break work into clear, testable increments.
• Guide modeling and pipeline patterns; focus on performance and reliability.
• Review code, enforce standards, and drive automation.
• Mentor engineers; pair, coach, and develop growth plans.
• Coordinate with Architects/Product/PMs to align scope and risks.
• Troubleshoot production issues; lead incident/post-mortem actions.
• Maintain technical documentation and reusable templates/modules.

Skills

SQL

Python

Data warehousing

ELT/streaming

CI/CD

Data quality

Observability

Cloud platforms

Orchestration

Tools

dbt

Airflow

Dagster

Spark/Databricks

Kafka

Snowflake

BigQuery

Redshift

Job description

We are seeking an experienced and driven Data Technical Lead to spearhead our data initiatives. The ideal candidate will bring deep expertise in data engineering, architecture, and analytics to deliver robust solutions and guide our technical teams. If you thrive in a dynamic environment and excel at leading high-impact projects, we'd love to meet you!

We are seeking an experienced and driven Data Technical Lead to spearhead our data initiatives. The ideal candidate will bring deep expertise in data engineering, architecture, and analytics to deliver robust solutions and guide our technical teams. If you thrive in a dynamic environment and excel at leading high-impact projects, we'd love to meet you!

Location: Mumbai, India
Work Mode: Work from Office
Role: Data Technical Lead

KEY RESPONSIBILITIES

• Own technical design and delivery for squads; break work into clear, testable increments.
• Guide modeling and pipeline patterns (ELT/streaming), performance, and reliability.
• Review code, enforce standards (testing, CI/CD, security), and drive automation.
• Mentor engineers; pair, coach, and develop growth plans and best practices.
• Coordinate with Architects/Product/PMs to align scope, risks, and trade-offs.
• Troubleshoot production issues; lead incident/post-mortem and preventive actions.
• Maintain technical documentation, runbooks, and reusable templates/modules.

REQUIREMENTS

• Strong hands-on in SQL and Python for data engineering.
• Solid data warehousing/lakehouse modeling and pipeline design (batch/stream).
• Proven experience with orchestration and CI/CD for data workloads (Git-based).
• Working knowledge of data quality, testing, and observability practices.
• Cloud data platforms exposure (Azure/AWS/GCP) and container/orchestration basics.
• Clear communication, leadership, pragmatism, and ownership in cross-functional teams.

NICE-TO-HAVE

• Tools: dbt, Airflow/Dagster, Spark/Databricks, Kafka, Snowflake/BigQuery/Redshift.
• IaC/DevOps (Terraform, Helm) and GitOps; SRE practices (SLIs/SLOs).
• Security & governance awareness (RBAC, secrets, catalogs/lineage).
• Experience building multi-tenant platforms and guiding cost/performance optimizations.

Mandatory Technical Skills mentioned below:

• Snowflake & DBT mandatory
• Github, Airflow, ADF, Azure/AWS/GCP, Data Modelling, Python, SQL