Job Title: DATABRICKS Architect Work Location Irving TX Job Description: Role Overview • We are seeking a highly skilled Databricks Engineer with AWS expertise to support Data Services portfolio • The role will be responsible for designing developing optimizing and supporting enterprise scale data platforms data pipelines and analytics solutions leveraging Databricks Lakehouse AWS Cloud and modern data engineering practices • The candidate will work closely with data architects’ application teams business stakeholders and platform engineering teams to deliver scalable secure and high-performance data solutions Key Responsibilities • Design develop and maintain scalable data pipelines using Databricks PySpark Spark SQL and Delta Lake • Build and support enterprise data lake and Lakehouse solutions on AWS • Develop batch and Realtime ingestion frameworks from multiple source systems • Implement data transformation enrichment cleansing and validation processes • Optimize Spark workloads for performance scalability and cost efficiency • Design and implement data models supporting reporting analytics and downstream applications • Integrate Databricks with AWS services including S3 Glue Lambda Redshift EventBridge and IAM • Support data migration and modernization initiatives from traditional data warehouses to Databricks Lakehouse • Implement CICD pipelines and Infrastructure as Code IaC using Terraform and Gitbased repositories • Collaborate with security teams to ensure compliance with client governance risk and data security standards • Troubleshoot production incidents and provide L3 operational support • Participate in architecture reviews code reviews and technical governance activities Mandatory Technical Skills • Databricks • Databricks Lakehouse Architecture • Databricks Workflows • Delta Lake • Unity Catalog • Databricks SQL • Auto Loader • Structured Streaming • Databricks Performance Tuning • Medallion Architecture • AWS • Amazon S3 • AWS Glue • AWS Lambda • AWS IAM • Amazon Redshift • AWS CloudWatch • SNS SQS • EventBridge • KMS • Secrets Manager • Data Engineering • PySpark • Apache Spark • Python • SQL • Data Warehousing Concepts • ETLELT Design • Data Modeling • Data Quality Frameworks • Batch RealTime Processing Preferred Skills • Snowflake • Microsoft Fabric • GCP BigQuery • Kafka • Airflow • dbt • Terraform • Docker • Kubernetes OpenShift • Informatica • Collibra • Data Vault Modeling • Dimensional Data Modeling • Banking Domain Experience • Strong experience within Banking and Financial Services • Understanding of enterprise data governance regulatory reporting risk compliance and audit requirements • Experience working in large global organizations with stringent security and operational standards Qualifications • Bachelors or Masters degree in Computer Science Engineering Information Systems or related discipline • Databricks Certified Data Engineer Preferred • AWS Certified Data Analytics or AWS Solution Architect Preferred