Visa

2 weeks ago

Lead Data Engineer

✓ 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

Lead the vision and architecture for AI-native VAS Data Foundations, consolidating disparate data sources into a unified, governed data layer. Build and evolve semantic layers that enable agents, analysts, and products to discover and reason over data consistently, powering self-service analytics and “talk-to-data.” Partner across product, business, AI, and data science to operationalize AI-driven insights, and establish standards for quality, metadata, lineage, observability, governance, and responsible AI.

Location: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Define the end-to-end architectural vision for AI-native data foundations, including cloud platforms, semantic layers, AI metadata, and consumption layers.
•Consolidate disparate data sources (on-prem, Hadoop, acquisitions, cloud) into a single accessible governed data layer.
•Design and evolve an AI-native semantic layer that enables agents, analysts, and products to discover, query, and reason over data consistently.
•Enable agentic and self-service analytics (automated insights, metric discovery, product analytics, and talk-to-data experiences).
•Establish architectural standards for data quality, metadata, lineage, observability, governance, and responsible AI usage; mentor senior engineers and architects.

Travel: Low travel

Pay and Benefits

Salary: USD 173,100 - 307,600 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveWellness StipendLife Insurance

Key Requirements

•10 years of relevant work experience with a bachelor’s degree (or 8 years with an advanced degree, or 3 years with a PhD).
•6+ years solving data problems using data technologies such as Hadoop, Hive, Kafka, Redis, NoSQL, or RDBMS.
•4+ years designing, implementing, and maintaining ETL pipelines.
•3+ years building and pushing code into production.
•Expert in at least one of Golang, Java, or C/C++ and in web service standards/patterns such as REST and gRPC.

Experience:8+ yearsData engineeringBig dataAI/MLDistributed systems

Education:Bachelor's

Skills:CommunicationMentorshipSystems thinkingDriving alignmentOperating in ambiguity

Tech Stack:HadoopHiveKafkaRedisNoSQLRDBMSETLELTGolangJavaC/C++RESTGRPCSparkFlinkMapReduceAI/MLLLM

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

Loading job details...

Preparing the role view and application actions.

Visa

2 weeks ago

Lead Data Engineer

✓ 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: Bellevue

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Define the end-to-end architectural vision for AI-native data foundations, including cloud platforms, semantic layers, AI metadata, and consumption layers.
•Consolidate disparate data sources (on-prem, Hadoop, acquisitions, cloud) into a single accessible governed data layer.
•Design and evolve an AI-native semantic layer that enables agents, analysts, and products to discover, query, and reason over data consistently.
•Enable agentic and self-service analytics (automated insights, metric discovery, product analytics, and talk-to-data experiences).
•Establish architectural standards for data quality, metadata, lineage, observability, governance, and responsible AI usage; mentor senior engineers and architects.

Travel: Low travel

Pay and Benefits

Salary: USD 173,100 - 307,600 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveWellness StipendLife Insurance

Key Requirements

•10 years of relevant work experience with a bachelor’s degree (or 8 years with an advanced degree, or 3 years with a PhD).
•6+ years solving data problems using data technologies such as Hadoop, Hive, Kafka, Redis, NoSQL, or RDBMS.
•4+ years designing, implementing, and maintaining ETL pipelines.
•3+ years building and pushing code into production.
•Expert in at least one of Golang, Java, or C/C++ and in web service standards/patterns such as REST and gRPC.

Experience:8+ yearsData engineeringBig dataAI/MLDistributed systems

Education:Bachelor's

Skills:CommunicationMentorshipSystems thinkingDriving alignmentOperating in ambiguity

Tech Stack:HadoopHiveKafkaRedisNoSQLRDBMSETLELTGolangJavaC/C++RESTGRPCSparkFlinkMapReduceAI/MLLLM

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