Job Description
Details
Requisition ID:
PCGJP00004280
Requisition Title:
(IT PSP) IT Solutions Engineer IV
Description:
CORRECT TITLE: Data Engineer, Senior
Remote role. Open to all US candidates that can work 8 -
5pm PST
The Data Engineering Platform Lead is responsible for the
overall design, operation, and evolution of enterprise data platforms
supporting analytics, integration, and business intelligence. This role owns
the data engineering platform stack—including Snowflake, Informatica, dbt, AWS,
and CI/CD tooling—and serves as the primary interface between data engineering
teams and partner organizations such as Cyber Security, Cloud Infrastructure,
DevOps, and Enterprise Architecture.
This is a hands
‑
on technical leadership role with
strong platform management and communication responsibilities, ensuring
platforms are secure, scalable, cost
‑
effective, and aligned with
enterprise standards.
Key Responsibilities
Platform Ownership & Strategy
Own the end
‑
to
‑
end data engineering platform,
including data storage, ingestion, transformation, orchestration, and DevOps
tooling.
Define and maintain platform standards, reference
architectures, and best practices for:
Data ingestion (e.g., Informatica)
Data transformation and modeling (dbt)
Data warehousing (Snowflake)
Drive platform roadmaps and adoption of modern data
engineering patterns.
Evaluate and recommend platform enhancements, tooling
upgrades, and new capabilities.
Cross
‑
Functional Collaboration
Act as the primary point of contact with:
Cyber Security (data protection, access controls, audits)
Cloud Infrastructure (AWS services, scalability, resiliency) DevOps (CI/CD,
environment management, automation) Enterprise Architecture and Data Governance
teams
Translate data engineering needs into platform and
infrastructure requirements and ensure alignment across teams.
Technical Leadership
Provide technical leadership and guidance to data
engineers using the platform.
Establish and enforce dbt standards, including:
Project structure and layering
Naming conventions and documentation
Testing, freshness, and data quality practices
Guide solution designs to ensure efficient, secure, and
scalable use of Snowflake and dbt.
Promote software engineering and DevOps best practices
for analytics engineering.
DevOps & Automation
Lead implementation of CI/CD pipelines for data
platforms, including dbt deployments.
Integrate Git
‑
based workflows, automated
testing, and controlled promotion across environments.
Partner with DevOps teams to improve reliability,
repeatability, and release confidence.
Operational Excellence
Ensure platform reliability, performance, and cost
optimization.
Define monitoring, alerting, and support models for
platform services.
Support compliance, audit, and risk remediation
activities.
Maintain platform documentation, runbooks, and onboarding
materials.
Required Technical Skills
Strong experience managing and operating enterprise data
platforms, including:
Snowflake (architecture, administration, performance,
security) Informatica (PowerCenter and/or Informatica Cloud) dbt (core
concepts, modeling patterns, tests, documentation, environments) AWS
(foundational services supporting data platforms)
Hands
‑
on experience with DevOps and
CI/CD, including:
Git / GitHub (branching and version control) Jenkins (or
equivalent CI/CD tools)
Strong understanding of:
Data modeling and transformation best practices Cloud
security and access controls Platform scalability, reliability, and cost
management
Communication & Leadership Skills
Excellent verbal and written communication skills.
Proven ability to work across multiple teams with
differing priorities.
Comfortable leading design reviews, architecture
discussions, and platform governance forums.
Ability to influence without direct authority and drive
adoption of standards.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or
related field.
7+ years of experience in data engineering or data
platform engineering.
3+ years in a technical lead, platform lead, or principal
‑
level
role.
Experience in large enterprise or regulated environments
preferred.
Preferred Qualifications
Experience supporting federated development teams using
shared dbt and Snowflake platforms.
Familiarity with data governance, metadata management,
and analytics catalogs.
Experience defining operating and support models for
shared platforms.
Requisition Start Date:
05/11/2026
Requisition End Date:
05/10/2027
SAP Organization Unit:
Enterprise Data Engineering Staff Aug
Site:
Oakland
General Office (OGO) Campus
Building:
Oakland
General Office (OGO)