Data Engineer / Cloud Data Architect

Job Summary
We are looking for an experienced

Data Engineer / Cloud Data Architect

with strong expertise in

AWS cloud data platforms, Databricks, IDMC/Informatica and PySpark . The candidate will be responsible for designing and implementing scalable cloud-based data solutions, data pipelines, migration/modernization initiatives, and analytics architectures.
Key Responsibilities
Design and maintain

data architecture, roadmaps, blueprints, and reference architectures .
Develop scalable

AWS-based data analytics and data engineering solutions .
Lead

data migration and modernization

initiatives using AWS, Databricks and IDMC.
Design and optimize

ETL/ELT pipelines, data lakes, data warehouses and data integration solutions .
Work with business and technical stakeholders to translate requirements into scalable data solutions.
Develop and optimize data pipelines using

PySpark/Spark, Databricks and AWS-native services .
Implement automation, CI/CD and Infrastructure-as-Code practices for cloud data environments.
Ensure adherence to

security, governance, compliance and data management standards .
Collaborate with Data Engineering, DevOps and other technology teams on solution delivery.
Support vendor and stakeholder management for data and cloud initiatives.
Must-Have Skills
5–10 years

of experience in Data Engineering, Data Warehousing, Big Data or Cloud Data solutions.
Strong hands-on experience with

AWS cloud services

such as S3, Glue, Redshift, Lambda, Athena, EMR or Kinesis.
Strong

PySpark / Spark

experience.
Hands-on experience with

Databricks and/or Informatica IDMC .
Strong understanding of

data lakes, data warehouses, ETL/ELT and data modelling .
Good knowledge of

SQL and Python .
Experience with data migration, modernization and cloud-based analytics solutions.
Good understanding of

CI/CD, Terraform/CloudFormation, IAM and cloud security .
Strong stakeholder management and communication skills.
Good-to-Have Skills