 Lead and manage large-scale Data Engineering and Data Modernization projects.

 Drive end-to-end delivery of Data Lake build and migration initiatives.

 Lead PySpark migration and optimization projects, ensuring performance and scalability.

 Design and implement contemporary data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions.

 Collaborate with business stakeholders, architects, and engineering teams to define data strategies and roadmaps.

 Provide technical leadership and mentorship to Data Engineers and Developers.

 Ensure best practices around:

Data governance
Data quality
Security and compliance
Performance optimization

 Lead data platform modernization initiatives across cloud settings.

 Review solution designs, architecture documents, and implementation approaches.

 Manage project planning, resource allocation, risks, and delivery timelines.

 Drive Agile delivery and ensure successful project execution.

Requirements

8+ years of experience in Data Engineering and Data Platform delivery




Minimum 3+ years of experience in a Technical Manager or Lead role
Proven experience in delivering:
Data Lake implementation projects
Data Lake migration programs
PySpark migration projects
Large-scale data transformation initiatives

Technical Skills

Strong expertise in:
Python
PySpark
Spark SQL
SQL
ETL/ELT frameworks
Experience with:
Hadoop ecosystem
Data Lakes and Lakehouse architectures
Distributed data processing frameworks
Robust understanding of:
Data modeling
Data integration patterns
Batch and real-time processing
Experience with cloud platforms such as:
AWS
Azure
GCP
Hands-on experience with:
Data migration strategies
Performance tuning and optimisation
CI/CD and DevOps practices for data platforms

Preferred Skills

Experience with:
Databricks
Delta Lake
Apache Airflow
Kafka
Snowflake
Kubernetes and Docker
Experience in Banking, Financial Services, or other large enterprise environments
Exposure to data governance a

📌 Technical Manager/ Data Project Manager Mumbai (India)
🏢 Unison Group
📍 India