Databricks

4 months ago

Sr. Manager - Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior Engineering Manager leading Security Infrastructure Operations (SIO) across cloud IAM operations, CSP provisioning, and security data pipelines. Drives automation of access, provisioning, and compliance workflows across AWS, Azure, and GCP while partnering with Security, IT, and engineering teams to ensure secure, scalable cloud environments and on-call readiness for Sev0 incidents.

Location: Bellevue, Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Seniority: Sr. Manager level

Key Responsibilities

•Build, lead, and grow a high-performing team of engineers responsible for cloud IAM operations, CSP environment management, security data pipelines, and compliance operations across AWS, Azure, and GCP.
•Define and execute the strategy and roadmap for automating cloud access assignment, approval workflows, and IAM policy enforcement to reduce manual toil while strengthening security controls.
•Own the end-to-end lifecycle of CSP account, subscription, and project provisioning, including secure onboarding of acquired companies' cloud environments into Databricks' organizations with minimal disruption.
•Drive compliance programs including Cloud User Access Reviews, audit evidence collection, and IAM policy alignment to meet SOC2, FedRAMP, and other regulatory requirements.
•Ensure the reliability and timeliness of security data pipelines that ingest CSP audit logging, enabling downstream detection and response capabilities.

Pay and Benefits

Salary: USD 222,000 - 300,000 annually

Key Requirements

•8+ years of experience in security engineering, cloud infrastructure, or production/site reliability engineering, with deep hands-on expertise in at least one major cloud provider (AWS, Azure, or GCP)
•5+ years of engineering management experience, including building teams, developing senior engineers and managers, and navigating complex people situations such as promotions and performance management
•Strong technical understanding of cloud IAM (policies, principals, roles, federation), CSP organizational structures, and identity governance frameworks
•Demonstrated success leading operational teams that balance high-throughput request execution with automation and process improvement
•Experience with compliance and audit workflows (SOC2, FedRAMP, ISO, or similar), including evidence collection and access review programs

Experience:8+ yearsCloud securitySecurity engineering

Education:Bachelor's

Skills:IAMCloudSecurityProvisioningAutomationComplianceAuditsLeadershipCommunicationsStakeholder management

Languages:English

Tech Stack:AWSAzureGCPIAMSecurity data pipelines

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

4 months ago

Sr. Manager - Production Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Bellevue, Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Seniority: Sr. Manager level

Key Responsibilities

•Build, lead, and grow a high-performing team of engineers responsible for cloud IAM operations, CSP environment management, security data pipelines, and compliance operations across AWS, Azure, and GCP.
•Define and execute the strategy and roadmap for automating cloud access assignment, approval workflows, and IAM policy enforcement to reduce manual toil while strengthening security controls.
•Own the end-to-end lifecycle of CSP account, subscription, and project provisioning, including secure onboarding of acquired companies' cloud environments into Databricks' organizations with minimal disruption.
•Drive compliance programs including Cloud User Access Reviews, audit evidence collection, and IAM policy alignment to meet SOC2, FedRAMP, and other regulatory requirements.
•Ensure the reliability and timeliness of security data pipelines that ingest CSP audit logging, enabling downstream detection and response capabilities.

Pay and Benefits

Salary: USD 222,000 - 300,000 annually

Key Requirements

•8+ years of experience in security engineering, cloud infrastructure, or production/site reliability engineering, with deep hands-on expertise in at least one major cloud provider (AWS, Azure, or GCP)
•5+ years of engineering management experience, including building teams, developing senior engineers and managers, and navigating complex people situations such as promotions and performance management
•Strong technical understanding of cloud IAM (policies, principals, roles, federation), CSP organizational structures, and identity governance frameworks
•Demonstrated success leading operational teams that balance high-throughput request execution with automation and process improvement
•Experience with compliance and audit workflows (SOC2, FedRAMP, ISO, or similar), including evidence collection and access review programs

Experience:8+ yearsCloud securitySecurity engineering

Education:Bachelor's

Skills:IAMCloudSecurityProvisioningAutomationComplianceAuditsLeadershipCommunicationsStakeholder management

Languages:English

Tech Stack:AWSAzureGCPIAMSecurity data pipelines

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn