Role Name - Databricks Architect
REQUIREMENT_CITY - Malvern, PA
ROLE_DESCRIPTION
Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives.
Skills - Data Architect
AWS Data Architecture – Design scalable, secure, and high-performance data platforms on AWS.
Data Modeling – Conceptual, Logical, Physical, Star & Snowflake schema design.
Data Lakes – Amazon S3, Lake Formation, Data Lake architecture.
Data Warehousing – Amazon Redshift and enterprise data warehouse design.
Big Data Processing – Apache Spark, PySpark, Amazon EMR.
ETL/ELT Development – AWS Glue, Lambda, Step Functions, Airflow.
Streaming & Real-Time Analytics – Amazon Kinesis, Kafka, MSK.
Data Governance & Security – IAM, KMS, Lake Formation, Encryption, Data Lineage.
DevOps & Infrastructure as Code – Terraform, CloudFormation, CI/CD Pipelines.
Solution Design & Stakeholder Management – Business requirement analysis and end-to-end architecture design.
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Databricks
Experience Required: 8-10
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