Senior Business Intelligence Engineer (Power BI) /n Experience level: 5+ years /n Function: Data & Analytics / Business Intelligence /n Engagement type: Client-facing delivery (consulting / embedded analytics) /n About the Role /n We're looking for a Senior BI Engineer who can own the full lifecycle of analytics delivery, from data modeling in the warehouse through to polished, secure, production-grade Power BI reporting embedded in client-facing applications. This is a hybrid technical and consultative role. You'll build the reports, engineer the data behind them, and communicate directly with client stakeholders about priorities, trade-offs, and progress. /n You'll work on a mature analytics program spanning executive dashboards, member/partner performance reporting, geospatial analytics, embedded portal analytics, and emerging AI-driven conversational analytics.

The right person is equally comfortable debugging a row-level security conflict in DAX, tuning a Snowflake view, and explaining a data limitation to a non-technical business owner in plain language. /n What You'll Do /n /n

- Design, build, and maintain Power BI reports and dashboards, from data model through DAX measures to final layout and interactivity.

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- Implement and troubleshoot row-level security (RLS), including dynamic/organization-scoped security and its interaction with export, embedding, and cross-group comparison logic.

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- Develop robust semantic models using Power Query / M and DAX, with attention to performance, maintainability, and correctness under security filters.

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- Build and support embedded analytics delivered through a partner/portal web application (Power BI Embedded), including effective-identity token handling.

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- Engineer and optimize the data layer in Snowflake, writing SQL, building and debugging views, and diagnosing hidden dependencies such as masking policies, row-access policies, and view lineage.

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- Integrate external and third-party data sources (e.g., public datasets, government/nonprofit APIs, demographic and geospatial data) into the warehouse and reporting layer, including handling API versioning and schema changes over time.

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- Build geospatial visuals, including map layers and reference geometries, and work through platform constraints such as feature caps, boundary data quality, and geocoding issues.

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- Contribute to AI-assisted analytics initiatives (e.g., conversational/natural-language analytics over governed datasets).

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- Own data validation and UAT for new pipelines and reports, verifying correctness across raw, curated, and reporting layers before and after release.

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- Support data governance practices, including data cataloging and documentation, and identifying and handling sensitive/PII data appropriately.

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- Translate business requirements into technical specifications, and communicate status, blockers, and recommendations directly to client stakeholders in a clear, professional, conversational tone.

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- Produce clean documentation and work breakdowns; scope and estimate level of effort for recent requests.

/n /n Must-Have Qualifications /n /n

- 5+ years of hands-on BI/analytics engineering experience, with a strong concentration in Power BI.

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- Expert-level DAX and Power Query / M, able to write, optimize, and debug complex measures and transformations.

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- Strong data modeling fundamentals (star schema, relationships, cardinality, and their impact on report behavior).

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- Deep, practical experience with row-level security in Power BI and its edge cases around export and embedding.

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- Advanced SQL (required) and solid experience with a cloud data warehouse. Snowflake strongly preferred (or Redshift/BigQuery/Synapse with willingness to ramp on Snowflake).

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- Python (required) for data work, including API integration, data prep/transformation, notebook-based workflows, and automation/scripting.

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- Solid grasp of data warehousing and ELT/ETL concepts and best practices.

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- Discipline around data validation, QA, and testing, plus awareness of data governance and sensitive/PII handling.

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- Experience delivering in a client-facing or stakeholder-facing capacity: gathering requirements, managing expectations, and explaining technical concepts to non-technical audiences.

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- Strong troubleshooting instincts, able to trace a reporting symptom back to a root cause in the data, the model, the security layer, or the source system.

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- Clear written and verbal communication; comfortable owning updates and coordinating across a delivery team.

/n /n Nice-to-Have Qualifications /n /n

- Power BI Embedded and Power BI Service administration (workspaces, deployment pipelines, capacity, gateways).

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- Experience with Snowflake Cortex or other LLM/AI-assisted analytics tooling.

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- Geospatial/mapping experience (Azure Maps, GeoJSON, geocoding, shapefiles/boundary data).

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- Familiarity with a modern cloud stack (AWS such as Lambda, S3, ECS/Fargate, EventBridge, CloudWatch, or Azure equivalents).

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- Database migration/versioning tooling (e.g., Liquibase), and source control workflows (Git/GitHub).

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- Experience integrating third-party or public APIs (demographic, government, or nonprofit-sector datasets).

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- Exposure to Streamlit, FastAPI, or similar for lightweight data applications and data-service APIs.

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- Familiarity with a second BI/visualization tool (e.g., Tableau).

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- Relevant certifications (e.g., Microsoft PL-300 / Power BI Data Analyst Associate, SnowPro).

/n /n What Success Looks Like /n In the first few months, you'll take ownership of existing report workstreams, resolve outstanding issues independently (escalating with specific technical context and evidence when needed), and become a reliable point of contact the client trusts for both delivery and honest technical guidance. You'll leave the codebase, data models, and documentation in better shape than you found them. /n Key Competencies - /n Technical depth - Can diagnose problems across the full stack: report, model, security, warehouse, and source /n Data modeling - Builds performant, maintainable semantic models that behave correctly under RLS where applicable /n Communication - Speaks in a business-friendly way, staying technically precise when the audience calls for it; explains complex issues simply; adjusts tone to the audience /n Ownership - Investigates independently before escalating; follows through to root cause /n Judgment - Knows when to reword, when to preserve exact wording, and when to ask

📌 Power BI Engineer (Hyderabad)
🏢 BPMLinks
📍 Hyderabad