Databricks AI/BI Visualization Engineer

Bangalore / Hybrid

612+ Years

We are seeking a highly skilled Databricks AI/BI Visualization Engineer to design, develop, and optimize next-generation analytics and AI-powered business intelligence experiences on Databricks hosted on AWS. The ideal candidate will have deep expertise in Databricks AI/BI Dashboards, Genie Spaces, advanced data visualization using Vega-Lite or custom visuals, Databricks SQL, and AI model serving.

This role combines analytics engineering, business intelligence, data visualization, AI enablement, and cloud data platform expertise to deliver intuitive, scalable, and production-grade insights for business users.

Candidates should have experience delivering at least one complete SDLC lifecycle involving data ingestion, transformation, semantic modeling, dashboard development, governance, deployment, user adoption, and production support.

• Design, develop, and maintain Databricks AI/BI dashboards and interactive analytics experiences.
• Build scalable semantic data models optimized for dashboard performance and business consumption.
• Develop curated datasets, reusable metrics, and governance-ready reporting assets.
• Create enterprise-grade analytical solutions using Databricks SQL and Lakehouse architecture principles.
• Implement data quality checks, validation frameworks, and metric governance standards.
• Optimize dashboard performance, query execution, and overall user experience.

• Lead implementation and administration of Databricks Genie Spaces.
• Curate datasets, business definitions, trusted metrics, and semantic context for Genie.
• Configure and maintain business-friendly AI agents capable of accurate natural language querying.
• Review generated SQL queries and validate response accuracy.
• Create prompt instructions, business rules, sample questions, and trusted SQL assets to improve Genie performance.
• Monitor user interactions and continuously refine Genie instructions based on feedback and usage patterns.
• Drive adoption of AI-powered analytics through user training and stakeholder enablement.

• Build highly interactive visualizations using Vega-Lite, Vega, or custom visualization frameworks.
• Develop advanced analytical views including:
• Time-series analysis
• Cohort analysis
• Funnel analytics
• Forecasting visualizations
• Anomaly detection overlays
• Network and relationship visualizations
• Cross-filtering and drill-down experiences
• Design reusable visualization templates and component libraries.
• Ensure dashboards follow modern UX, accessibility, and information design best practices.

• Deploy and manage machine learning models using Databricks Model Serving capabilities.
• Integrate model outputs into dashboards and business workflows.
• Manage model versioning, deployment, rollback, and monitoring processes.
• Utilize MLflow for experiment tracking, model registry, and reproducibility.
• Ensure reliable and scalable production inference environments.

• Implement and maintain Unity Catalog governance controls.
• Configure row-level and column-level security policies.
• Ensure compliance with enterprise data governance standards.
• Optimize Databricks workloads for performance, scalability, and cost efficiency.
• Support auditability, data lineage, and access management requirements.

• Work within Databricks environments hosted on AWS.
• Collaborate on platform optimization involving:
• Amazon S3
• IAM Roles & Policies
• VPC Networking
• KMS
• CloudWatch
• Support operational excellence and cloud cost optimization initiatives.

• Strong hands-on experience with Databricks AI/BI Dashboards.
• Experience implementing and managing Databricks Genie Spaces.
• Expertise in Databricks SQL and Lakehouse architecture.
• Strong understanding of Delta Lake and modern analytics engineering practices.
• Experience with semantic modeling, metric definitions, and enterprise reporting.

• Strong expertise in Vega-Lite and/or Vega.
• Experience building custom visualizations and interactive dashboards.
• Deep understanding of visualization performance optimization.
• Strong UI/UX mindset with focus on business usability and stakeholder experience.

• Advanced SQL skills including:
• Complex joins
• Window functions
• CTEs
• Query optimization
• Performance tuning
• Experience with dimensional modeling, star schemas, and snowflake schemas.

• Experience with Databricks Model Serving.
• Hands-on experience with MLflow.
• Understanding of model lifecycle management and production deployment practices.
• Experience integrating machine learning outputs into BI solutions.

• Experience working with Databricks on AWS.
• Knowledge of:
• Amazon S3
• IAM
• VPC
• KMS
• CloudWatch
• Understanding of cloud security and access control concepts.

• Experience building and supporting data pipelines.
• Knowledge of ETL/ELT frameworks and incremental processing.
• Experience with data quality management and troubleshooting.
• Ability to trace and resolve issues across the end-to-end data lifecycle.

• Experience delivering AI-powered analytics solutions in enterprise environments.
• Experience training business users on self-service analytics and AI tools.
• Exposure to prompt engineering and AI-assisted analytics workflows.
• Experience creating reusable visualization libraries and dashboard frameworks.
• Familiarity with enterprise governance, compliance, and audit requirements.

Candidates will be evaluated on:

• Databricks AI/BI Dashboard development expertise
• Genie Space implementation and optimization
• Vega-Lite and custom visualization capabilities
• Databricks SQL and data modeling proficiency
• MLflow and model serving experience
• AWS Databricks architecture understanding
• Unity Catalog governance and security controls
• Performance tuning and cost optimization
• UI/UX thinking and stakeholder-centric dashboard design
• End-to-end SDLC ownership and delivery experience