Omni Analytics / Embedded BI Platform Engineer - Remote

Location: Remote

Duration of project: 6-9 months

Mode of Interview: Video

End Client Name: Ripple

 

Job Summary

We are looking for an experienced BI Platform Engineer to manage and support the end-to-end lifecycle of an Omni Analytics / Embedded BI platform integrated with Databricks.

 

This role combines BI platform administration, data modeling, semantic-layer development, embedded analytics, performance optimization, and production monitoring. The ideal candidate should be comfortable working with modern BI platforms and have experience supporting customer-facing embedded analytics in a multi-tenant environment.

 

Omni Analytics experience is preferred but not mandatory. However, strong hands-on experience with Looker, Tableau, Business Objects, or Power BI is mandatory, along with the ability and willingness to quickly learn Omni.

 

Key Responsibilities:

• Administer and maintain the Omni Analytics BI platform across development, staging, and production environments.
• Manage users, groups, roles, permissions, licenses, data access, and row-level security.
• Support SSO/SAML, API keys, embed tokens, audit logging, and platform integrations.
• Develop and maintain semantic data models, topics, views, relationships, joins, and derived metrics.
• Work with Databricks teams to optimize BI workloads using Unity Catalog, SQL Warehouses, Delta Lake, Photon, caching, partitioning, and clustering.
• Develop and maintain embedded dashboards and reports within customer-facing applications.
• Implement multi-tenant security, dynamic filtering, white-labeling, and embedded authentication.
• Monitor platform performance, query execution, warehouse utilization, uptime, and dashboard load times.
• Identify and resolve slow queries, inefficient joins, and data-model performance issues.
• Establish performance benchmarks and support load testing and capacity planning.
• Participate in incident response, troubleshooting, and root-cause analysis.
• Implement CI/CD and Git-based workflows for BI models and content.
• Collaborate with data engineering, product, application engineering, and business teams.
• Create documentation, platform standards, onboarding guides, and operational runbooks.

 

Required Qualifications:

• 6+ years of experience working with modern BI/analytics platforms.
• Strong hands-on experience with at least one of the following:
  • Looker
  • Tableau
  • Business Objects
  • Power BI
• Strong understanding of semantic-layer modeling, including joins, derived fields, access controls, reusable models, and metrics.
• Strong knowledge of conceptual, logical, physical, relational, dimensional, and ER data modeling.
• Advanced SQL skills, including query optimization for large and high-cardinality datasets.
• Strong understanding of Databricks, including Unity Catalog, SQL Warehouses, Delta Lake, and Medallion Architecture.
• Experience with embedded BI/analytics in customer-facing applications.
• Experience with SSO, embed tokens, multi-tenant row-level security, and white-labeling.
• Experience supporting BI platforms in production/SaaS environments, preferably across multiple regions.
• Experience with monitoring, alerting, performance tuning, and incident management.
• Experience with Git-based development and CI/CD workflows for BI content.
• Experience with Azure and Azure DevOps (ADO).
• Strong communication and documentation skills.
• Ability to work independently, learn new technologies quickly, and proactively identify improvements.

 

Preferred Qualifications:

• Direct hands-on experience with Omni Analytics, including topics, workbooks, embedding SDK, and administration.
• Experience with Databricks Photon, Delta Share, and Medallion Architecture.
• Experience in fintech, treasury, or other highly regulated/security-sensitive environments.
• Experience with BI load testing and capacity planning.
• Python experience with pandas, SQLAlchemy, or PySpark.
• Experience integrating AI/ML or LLM capabilities into BI platforms.
• Experience developing dashboards, KPI frameworks, and self-service analytics solutions.

 

What the Client Is Looking For-

The client is looking for someone who is not just a dashboard developer, but someone who can take ownership of the BI platform itself—including administration, semantic modeling, Databricks integration, embedded analytics, security, performance, monitoring, and production support.

Important: Omni Analytics is a relatively less-common BI platform. Candidates who have not used Omni can still be considered if they have deep experience with Looker, Tableau, Business Objects, or Power BI and demonstrate strong self-learning and problem-solving skills.