> Markdown version of [/jobs/ext/1958967-databricks-architect-aws-background](https://www.wearedevelopers.com/jobs/ext/1958967-databricks-architect-aws-background). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Architect- AWS Background - **Company:** LTIMindtree Limited - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, BigQuery, Code Review, Information Systems, Computer Engineering, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Transformation, Data Migration, Data Systems, Data Vault Modeling, Data Warehousing, Apache Hive, Identity and Access Management, Python (Programming Language), OpenShift, Performance Tuning, Standard Sql, Data Streaming, Google Cloud, Snowflake, Apache Spark, AWS Lambda, Microsoft Fabric, Data Lakes, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Collibra, AWS Glue, Data Analytics, Apache Kafka, Data Management, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Docker, Amazon Redshift, Databricks - **Published:** August 6, 2026 - **Apply:** https://www.dice.com/job-detail/b756e02d-5e6b-45fc-b6f5-51997f4e4f16 ## About the Role * Snowflake * Microsoft Fabric * Google Cloud Platform 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, * 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 ## Description * 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, * 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 ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)