Visa

1 month ago

Sr. Consultant, BI Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Architect and deliver scalable, reusable BI solutions within Visa’s Global Data & AI organization. Establish BI engineering standards and lifecycle/certification for dashboards, reports, semantic models, datasets, and KPIs. Lead governed semantic layers and automation/AI-assisted BI capabilities, enable cloud migration and platform modernization, and embed data quality, security, privacy, lineage, and auditability while managing BI COE intake and delivery governance.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Establish BI engineering architecture standards and reusable frameworks for dashboards, reports, semantic models, datasets, pipelines, KPIs/metrics, documentation, and performance.
•Set BI lifecycle management and certification for trusted reports and improved report discoverability.
•Drive consistent KPIs and business rules by enabling governed semantic layers, certified datasets, and reusable reporting models with lineage and metric documentation.
•Enable low-code, configuration-driven, automation and AI-assisted BI capabilities using reusable templates and metadata-driven patterns.
•Manage BI COE intake, prioritization, roadmap planning, and delivery governance; partner to convert business needs into scalable BI products and reporting solutions, including cloud migration and modernization.

Key Requirements

•8+ years of relevant work experience with a Bachelor’s Degree, or 5+ years with an Advanced Degree, or 2 years with a PhD, or 11+ years with no degree requirement.
•Experience (10-12 years) in BI/DE, including 6+ years leading technical architecture, tooling, and design systems for BI development.
•Expertise in enterprise dashboarding, advanced analytics, embedded delivery, and design end-to-end BI architecture (data ingestion to modeling to visualization).
•Strong SQL and experience with PySpark and HiveQL, including Hadoop, AWS EMR, and NoSQL databases.
•Proficiency with Apache Airflow for orchestration, plus CI/CD and DevOps practices for BI asset testing; familiarity with React, micro-frontends, and MicroStrategy is preferred.

Experience:8+ yearsBI/DEData engineeringData analyticsCloud migration

Skills:CommunicationStakeholder managementLeadershipInfluence without authorityAdaptability

Tech Stack:SQLPySparkHiveQLHadoopAWS EMRNoSQLApache AirflowGitGitHubCI/CDREST APIsReactMicro-frontendsMicroStrategyGenAIMachine learningSemanticsDashboardsSemantic modelsData pipelines

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Visa

1 month ago

Sr. Consultant, BI Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Establish BI engineering architecture standards and reusable frameworks for dashboards, reports, semantic models, datasets, pipelines, KPIs/metrics, documentation, and performance.
•Set BI lifecycle management and certification for trusted reports and improved report discoverability.
•Drive consistent KPIs and business rules by enabling governed semantic layers, certified datasets, and reusable reporting models with lineage and metric documentation.
•Enable low-code, configuration-driven, automation and AI-assisted BI capabilities using reusable templates and metadata-driven patterns.
•Manage BI COE intake, prioritization, roadmap planning, and delivery governance; partner to convert business needs into scalable BI products and reporting solutions, including cloud migration and modernization.

Key Requirements

•8+ years of relevant work experience with a Bachelor’s Degree, or 5+ years with an Advanced Degree, or 2 years with a PhD, or 11+ years with no degree requirement.
•Experience (10-12 years) in BI/DE, including 6+ years leading technical architecture, tooling, and design systems for BI development.
•Expertise in enterprise dashboarding, advanced analytics, embedded delivery, and design end-to-end BI architecture (data ingestion to modeling to visualization).
•Strong SQL and experience with PySpark and HiveQL, including Hadoop, AWS EMR, and NoSQL databases.
•Proficiency with Apache Airflow for orchestration, plus CI/CD and DevOps practices for BI asset testing; familiarity with React, micro-frontends, and MicroStrategy is preferred.

Experience:8+ yearsBI/DEData engineeringData analyticsCloud migration

Skills:CommunicationStakeholder managementLeadershipInfluence without authorityAdaptability

Tech Stack:SQLPySparkHiveQLHadoopAWS EMRNoSQLApache AirflowGitGitHubCI/CDREST APIsReactMicro-frontendsMicroStrategyGenAIMachine learningSemanticsDashboardsSemantic modelsData pipelines

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor