Analytics Engineer

Location: Remote Duration of project: 6-9 months Mode of Interview: Video End Client Name: OpenKyber 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 .

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