3 days ago

Tech Lead Veeva Vault Developer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead the discovery-to-scale data engineering pipeline by spotting repeatable patterns and handing validated solutions to platform engineering for enterprise generalization. In a forward-deployed role, design and build data integration, storage, and infrastructure to power analytics and AI, operating with high autonomy across teams. Define your direction within strategic goals, ensure reliability via SLOs/SLIs, and deliver robust, well-tested code for production data systems.

Location: San Jose

Employment Type: Contract

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Manage the discovery-to-scale pipeline by identifying repeatable patterns and enabling enterprise generalization through handoffs to platform engineering.
•Design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities.
•Define architectural trade-offs and deliver scalable system components with high-quality, well-tested code aligned to enterprise standards.
•Set up and monitor service level objectives (SLOs/SLIs) and improve resilience through post-incident learnings.
•Rapidly prototype and deliver end-to-end data applications while balancing solution speed with responsible technical debt management.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•Bachelor’s degree in Computer Science or Engineering with 8–12 years of relevant data engineering experience leading complex projects with multi-team impact.
•Design, build, and maintain robust, scalable enterprise data pipelines (ETL/ELT) that can handle undocumented schemas and high-volume data.
•Deploy and manage cloud-native data infrastructure on AWS, Azure, or GCP, using Infrastructure as Code (Terraform/CloudFormation) and end-to-end CI/CD for data solutions.
•Strong conceptual, logical, and physical data modeling skills, including normalization trade-offs, query performance, and safe schema migrations in production.
•Incorporate AI/MLOps workflows by designing data validation and evaluation frameworks that support AI/ML model deployment and governance.

Experience:8-12 yearsData engineeringCloudAI/MLETL/ELTMLOpsData integration

Education:Bachelor's

Skills:AutonomyArchitectural trade-offsSystems thinkingCommunicationProblem solving

Languages:English

Tech Stack:Veeva VaultAWSAzureGCPTerraformCloudFormationCI/CDETLELTData modelingSLOsSLIsAIMLOpsData validationSchema migrations

Company Brief

Appnovation

Provides digital transformation, design, and engineering services, helping enterprises build customer experiences, digital platforms, and integrations using open-source and cloud technologies across industries.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: Vancouver, Canada

Founded: 2007

Website LinkedIn

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Appnovation

3 days ago

Tech Lead Veeva Vault Developer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Contract

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Manage the discovery-to-scale pipeline by identifying repeatable patterns and enabling enterprise generalization through handoffs to platform engineering.
•Design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities.
•Define architectural trade-offs and deliver scalable system components with high-quality, well-tested code aligned to enterprise standards.
•Set up and monitor service level objectives (SLOs/SLIs) and improve resilience through post-incident learnings.
•Rapidly prototype and deliver end-to-end data applications while balancing solution speed with responsible technical debt management.

Pay and Benefits

Perks:Hybrid Work

Key Requirements

•Bachelor’s degree in Computer Science or Engineering with 8–12 years of relevant data engineering experience leading complex projects with multi-team impact.
•Design, build, and maintain robust, scalable enterprise data pipelines (ETL/ELT) that can handle undocumented schemas and high-volume data.
•Deploy and manage cloud-native data infrastructure on AWS, Azure, or GCP, using Infrastructure as Code (Terraform/CloudFormation) and end-to-end CI/CD for data solutions.
•Strong conceptual, logical, and physical data modeling skills, including normalization trade-offs, query performance, and safe schema migrations in production.
•Incorporate AI/MLOps workflows by designing data validation and evaluation frameworks that support AI/ML model deployment and governance.

Experience:8-12 yearsData engineeringCloudAI/MLETL/ELTMLOpsData integration

Education:Bachelor's

Skills:AutonomyArchitectural trade-offsSystems thinkingCommunicationProblem solving

Languages:English

Tech Stack:Veeva VaultAWSAzureGCPTerraformCloudFormationCI/CDETLELTData modelingSLOsSLIsAIMLOpsData validationSchema migrations

Company Brief

Appnovation

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Bootstrapped

Headquarters: Vancouver, Canada

Founded: 2007

Website LinkedIn