Data Engineer / Cloud Data Architect
Summary
Designs and implements scalable AWS-based data platforms, pipelines and analytics architectures, leading data migration and modernization initiatives using Databricks, Informatica IDMC and PySpark. Core stack: AWS (S3, Glue, Redshift, EMR, Athena), Databricks, PySpark, SQL/Python, Terraform and CI/CD.
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
- Tableau / Power BI
- Informatica
- Oracle / SQL Server / MySQL / Teradata
- Delta Lake / MLflow
- AWS Glue / Redshift / EMR
- Event-driven architecture and microservices
- Healthcare data governance and compliance
- Tech Manager / Cloud Data Architect experience
Preferred Certifications
- AWS Certified Solutions Architect – Associate/Professional
- Databricks Certified Data Engineer
- Informatica IDMC Certification
Education
Bachelor's/Master's degree in Computer Science, Information Technology, Computer Engineering , or a related field.
Skills
- Analytics
- Athena
- Automation
- AWS
- Aws Glue
- CI/CD
- Cloud
- Cloud Security
- CloudFormation
- Data Analytics
- Data Engineering
- Data Governance
- Data Modeling
- Data Pipelines
- Data Warehousing
- Databricks
- Delta Lake
- DevOps
- ELT
- ETL
- Event Driven Architecture
- IAM
- Infrastructure as Code
- Kinesis
- Lambda
- Microservices
- MLflow
- MySQL
- Oracle
- Power BI
- PySpark
- Python
- Redshift
- Spark
- SQL
- SQL Server
- Stakeholder Management
- Tableau
- Teradata
- Terraform