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.
Key Responsibilities:
- Design scalable data architectures across OLTP, OLAP, and Data Lake environments.
- Architect data ingestion, ETL/ELT pipelines, and integration frameworks.
- Drive data modeling (conceptual, logical, physical) using best practices.
- 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.
Mandatory Skills:
- 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.
Preferred Skills:
- NoSQL experience (MongoDB, DynamoDB).
- Snowflake / Redshift / Databricks exposure.
- CI/CD for data platforms (GitLab, Terraform, CloudFormation).
- Data governance and security frameworks.