Tableau Reporting Developer

Job description

We are seeking a Senior Tableau Reporting Consultants with 6-8 years of Tableau experience and strong hands-on experience working with Databricks as a primary data source.

This role is ideal for a reporting specialist who understands how to effectively consume, optimize, and visualize data from Databricks environments, while delivering high-quality dashboards under tight timelines.

Prior experience in the healthcare domain is essential.

Key Responsibilities

• Design and develop high-impact Tableau dashboards and reports leveraging Databricks-hosted datasets
• Establish and manage live and extract-based connections between Tableau and Databricks (Delta Lake / Spark SQL)
• Write and optimize SQL queries against Databricks tables/views for efficient data retrieval
• Collaborate with data engineering teams to understand Databricks data models, schemas, and optimization strategies
• Ensure Tableau dashboards are performance-optimized when querying large-scale Databricks datasets
• Implement Row-Level Security (RLS) and data governance based on source data access rules
• Perform data validation, reconciliation, and troubleshooting across Tableau and Databricks layers
• Deliver reporting solutions within tight deadlines and agile delivery cycles
• Provide insights and recommendations on best practices for integrating Tableau with Databricks

Required Qualifications

• 6-8 years of Tableau experience (Desktop, Server/Cloud, Prep)
• Strong hands-on experience using Databricks as a data source (must-have)
• Experience querying Delta tables and views
• Familiarity with Databricks SQL endpoints / warehouses
• Understanding of how Spark/Databricks data structures impact Tableau performance
• Advanced SQL skills for data extraction, filtering, and optimization
• Proven experience working in tight timelines / high-pressure delivery environments
• Experience building dashboards on large, distributed datasets.
• Identifying and resolving performance bottlenecks between Tableau and Databricks
• Prior experience with healthcare data (claims, eligibility, provider, clinical, prior authorization, etc.)
• Strong understanding of data visualization and storytelling principles

Preferred Qualifications

• Experience integrating Tableau with cloud-based data platforms (AWS, Azure)
• Exposure to data lakehouse architecture concepts (Delta Lake, partitioning, caching)
• Familiarity with Tableau performance optimization techniques specific to large datasets
• Experience working in regulated environments (HIPAA compliance)
• Knowledge of FHIR / HL7 healthcare standards

Key Competencies

• Strong ability to bridge data engineering and business reporting layers
• Deep understanding of query performance tuning between Tableau and Databricks
• Understanding Databricks data structures and query patterns
• Efficiently consuming Databricks data in Tableau
• Hands-on experience with Prosperity data protection platform
• Expertise in tokenization and detokenization of sensitive data (PHI/PII)
• Understanding of how tokenized data is consumed in reporting tools like Tableau
• Ability to ensure secure data handling while maintaining reporting usability
• Familiarity with data masking, encryption, and access control policies
• Ability to work independently in fast-paced, ambiguous environments
• Excellent stakeholder communication and data storytelling skills
• High attention to data accuracy and governance