Job Description
About the Role:
We are looking for a Senior Visualization Developer / Architect to lead the design, development, and optimization of enterprise-grade reporting and analytics solutions. This role combines deep expertise in data visualization platforms, modern front-end development, and big data processing to deliver actionable insights at scale.
Key Responsibilities:
Architect and develop end-to-end reporting and visualization solutions using Power BI, including data modeling, DAX optimization, and enterprise deployment strategies
Design and build custom interactive dashboards and embedded analytics using React-based front-end applications
Develop and optimize data pipelines and transformations in Databricks (PySpark/Spark SQL) to feed downstream reporting layers
Define visualization standards, design patterns, and best practices across the organization
Lead the evaluation and selection of visualization tools and frameworks based on business requirements
Collaborate with data engineering, product, and business teams to translate complex data into intuitive visual narratives
Implement Row-Level Security (RLS), incremental refresh, and performance tuning strategies in Power BI
Build reusable React component libraries for custom charting (D3.js, Recharts, AG Grid, or similar)
Design scalable data architectures that bridge Databricks lakehouse outputs with visualization layers
Mentor junior developers and establish code review practices for BI and front-end deliverables
Ensure compliance with data governance, security, and accessibility standards
Must-Have Skills:
8+ years of experience in data visualization and reporting solutions
Expert-level proficiency in Power BI (Desktop, Service, Embedded, Dataflows, Paginated Reports)
Advanced DAX, Power Query (M), and data modeling techniques (Star/Snowflake schema)
Strong hands-on experience with React.js (hooks, state management, component architecture)
Working knowledge of Databricks notebooks, Spark SQL, Delta Lake, and job orchestration
Experience with REST APIs and integrating visualization layers with backend data services
Proficiency in SQL and data transformation logic
Familiarity with CI/CD pipelines for BI artifacts and front-end deployments
Strong understanding of data warehousing concepts and lakehouse architecture ##LI-DNI
Qualifications
Must-Have Skills:
8+ years of experience in data visualization and reporting solutions
Expert-level proficiency in Power BI (Desktop, Service, Embedded, Dataflows, Paginated Reports)
Advanced DAX, Power Query (M), and data modeling techniques (Star/Snowflake schema)
Strong hands-on experience with React.js (hooks, state management, component architecture)
Working knowledge of Databricks notebooks, Spark SQL, Delta Lake, and job orchestration
Experience with REST APIs and integrating visualization layers with backend data services
Proficiency in SQL and data transformation logic
Familiarity with CI/CD pipelines for BI artifacts and front-end deployments
Strong understanding of data warehousing concepts and lakehouse architecture
Nice-to-Have Skills:
Experience with other BI tools (Tableau, Looker, QuickSight)
Knowledge of D3.js or other JavaScript visualization libraries
Azure ecosystem experience (Azure Data Factory, Synapse, Azure AD)
Exposure to Python for data manipulation and automation
Experience with Power BI Embedded and custom connector development
Familiarity with Agile/Scrum delivery methodologies
Power BI certifications (PL-300, DP-500)
Qualifications:
Bachelor's/Master's degree in Computer Science, Data Science, Information Systems, or related field
Proven track record of delivering enterprise-scale reporting solutions
Strong communication skills with the ability to present technical concepts to non-technical stakeholders
Experience leading or mentoring a team of developers
