Data Engineer / Cloud Data Architect
Posted Updated
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.
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
- S3
- Spark
- SQL
- SQL Server
- Stakeholder Management
- Tableau
- Teradata
- Terraform