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Databricks Architect

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Newt Global
Full Time position Listed on 2026-11-10
Job specializations:
  • IT/Tech
    Data Engineering, AWS, Data Warehousing, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR

Job Description & How to Apply Below

  • 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 Event Bridge 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
  • 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 Cloud Watch
  • SNS SQS
  • Event Bridge
  • KMS
  • Secrets Manager
  • Pyspark
  • Python
  • SQL
  • Data Warehousing Concepts
  • ETLELT Design
  • Data Modeling
  • Data Quality Frameworks
  • Batch Real Time Processing
Preferred Skills
  • Snowflake
  • Microsoft Fabric
  • Kafka
  • Airflow
  • dbt
  • Terraform
  • Docker
  • 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
  • AWS Certified Data Analytics or AWS Solution Architect Preferred
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