Data Architect

We are seeking an experienced Data Architect to design, govern, and optimize enterprise data platforms. The architect will lead end-to-end data architecture, data modeling, and cloud-based data engineering strategies.

• Design scalable data architectures across OLTP, OLAP, and Data Lake environments.
• Architect data ingestion, ETL/ELT pipelines, and integration frameworks.
• Govern metadata, lineage, data security, and compliance frameworks.
• Lead cloud-native data solutions on AWS (S3, Glue, Lambda, Redshift, IAM, VPC).
• Collaborate with engineering teams to implement data quality, validation, and observability standards.
• Work with business and analytics teams to prioritize data needs.

• Strong SQL and Python proficiency.
• Hands-on experience with AWS data stack (S3, Glue, Athena, Lambda, RDS/Aurora).
• Expertise in data modeling, schema design, normalization, and multidimensional modeling.
• Experience with ETL/ELT tools (Glue, Informatica, Airflow).
• Knowledge of Big Data technologies (Spark, Hadoop, Kafka).
• Strong understanding of API-based integrations.

• No
  
  SQL experience (Mongo
  
  DB, Dynamo
  
  DB).
• Snowflake / Redshift / Databricks exposure.
• CI/CD for data platforms (Git Lab, Terraform, Cloud Formation).
• Data governance and security frameworks.