Data Engineering Leader

Role: Data Engineering Leader

Experience: 12–18+ years

Location: Any Straive location

Role Summary:

Lead the organization's data engineering function and build scalable, reliable data platforms and pipelines. The role combines technical leadership, architecture, people management and stakeholder management.

Key Responsibilities

• Lead and mentor Data Engineers, Senior Engineers and Data Architects.

• Design and implement scalable data platforms, data lakes and data warehouses.

• Define data engineering architecture, standards and best practices.

• Build and optimize ETL/ELT pipelines for large-scale data.

• Work with Cloud platforms such as AWS, Azure or GCP.

• Partner with Data Science, Analytics, Product and Business teams.

• Ensure data quality, governance, security and reliability.

• Drive modernization of legacy data platforms.

• Manage technical roadmap, delivery and engineering performance.

• Evaluate and introduce new data/AI technologies.

Key Technical Skills

Data Engineering

• Python / Java / Scala

• SQL

• ETL/ELT

• Apache Spark

• Kafka

• Airflow

Cloud

• AWS / Azure / GCP

• S3 / ADLS

• Databricks

• Snowflake

• Redshift / BigQuery

Data Architecture

• Data Lake

• Data Warehouse

• Lakehouse

• Data Modelling

• Distributed Systems

Leadership

• Team management

• Hiring and mentoring

• Stakeholder management

• Architecture decisions

• Project/program delivery