Sr. Azure Data Architect – Databricks

Dallas, United States

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients.

We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Overview :

Location:REMOTE Hybrid

• Design and implement end-to-end data architecture / data ecosystem using Azure-native services and Databricks
• Build scalable, high-performance data platforms and robust data frameworks
• Partner with stakeholders to translate business requirements into reliable data solutions
• Implement data governance principles using Unity Catalog
• Create and implement data ingestion and data integration patterns using Medallion Architecture
• Develop PySpark notebooks
• Create procedures for advanced data transformation
• Handle performance tuning in Databricks and Azure SQL DBs

Architect end-to-end data solutions supporting:

• Yield improvement
• Process control
• Predictive maintenance
• Operational efficiency
• Ensure strict governance, security, scalability, and compliance across the platform

• 10+ years of overall experience and 5+ years of architecture experience in data architecture / data engineering roles
• Strong hands-on experience with major enterprise data platforms

Extensive experience with Azure-native services including:

• Strong hands-on experience with Azure Databricks

Should have worked with the latest Databricks capabilities including:

Unity Catalog:

• Catalog and schema design
• Permissions and security
• Managed and external tables
• Lineage and governance
• CDC implementation
• Data transformations
• Scaling and performance tuning
• Other modern Databricks capabilities and best practices

Experience with data ingestion tools such as:

• Fivetran
• HVR or equivalent CDC / replication tools

Experience with ELT tools such as:

• DBT

Familiarity with:

• Batch processing

• Strong expertise in data ingestion, transformation, and orchestration frameworks
• Hands-on experience building insurance-specific data models
• Proficiency in Python / PySpark and Spark SQL
• Strong understanding of streaming vs batch processing
• Experience with Spark job performance tuning
• Ability to optimize:
  • Data storage formats
  • Partitioning strategies
  • Schema design
• Experience working with:
  • Object stores
  • Data lakes
  • Cloud compute scaling
  • Databricks cluster management

• Deep understanding of:
  • Data governance
  • Security and compliance
  • RBAC and attribute-based access control
  • Encryption and audit logs
  • Data privacy requirements
• Experience with operational excellence practices:
  • Monitoring and observability
  • Reliability and metrics
  • Backup, failover, and disaster recovery strategies

• Prior experience working on Insurance P&C cloud-based data and analytics projects
• Strong analytical and problem-solving skills
• Experience defining and enforcing best practices for Databricks workloads and Spark-based pipelines
• Solid understanding of distributed data processing concepts
• Strong communication and stakeholder management skills
• Ability to document architecture decisions, trade-offs, and technical recommendations

Diversity Inclusion:
Exavalu also promotes…