Enterprise Data Platform Architect & Lead (Cloud & Analytics)

AllSTEM Connections
Ontario, CA, United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Automation of Tests Cloud Computing Cyber Security Continuous Integration Information Engineering Data Governance DevOps High-Level Architecture Meta-Data Management Systems Development Life Cycle Software Engineering
+8 more
Enterprise Data Management Snowflake Informatica Cloud Git Flow Information Technology Performance Monitor Data Management Jenkins

Job description

We are seeking a high-caliber Enterprise Data Platform Lead to own the design, evolution, and operational excellence of our mission-critical data stack. This is a hands-on technical leadership role where you will serve as the primary ā€œGatekeeperā€ and Architect for the platforms supporting our global analytics, integration, and BI initiatives. You will act as the vital link between Data Engineering and partner organizations-including Cyber Security, DevOps, and Cloud Infrastructure-ensuring our ecosystems are secure, cost-effective, and aligned with enterprise-grade standards., Platform Ownership: Own the end-to-end data engineering stack, including storage (Snowflake), transformation (dbt), ingestion (Informatica), and orchestration within an AWS environment. Architectural Governance: Define and maintain reference architectures and ā€œBest Practiceā€ standards for data modeling, ingestion layering, and naming conventions. Strategic Collaboration: Act as the primary technical interface with Cyber Security (access controls/audits), Cloud Infrastructure (resiliency), and Enterprise Architecture teams. DevOps Leadership: Lead the implementation of CI/CD pipelines for data platforms. Integrate Git-based workflows and automated testing to ensure release confidence and reliability. Technical Stewardship: Guide solution designs to ensure efficient use of dbt and Snowflake. Mentor data engineers on software engineering principles and modern analytics patterns. Operational Excellence: Drive platform roadmaps, monitor performance metrics, and lead cost-optimization efforts across the cloud data footprint.

Requirements

Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience: * Minimum 7 years in Data Engineering or Platform Engineering. At least 3 years in a Technical Lead, Platform Lead, or Principal-level role. Technical Mastery: Expert-level Snowflake: Administration, architecture, and security. Advanced dbt: Deep knowledge of modeling patterns, testing, and environment management.Informatica: Proficiency in PowerCenter or Informatica Cloud. DevOps/CI/CD: Hands-on experience with Git/GitHub and Jenkins (or equivalent). Attributes: Proven ability to influence without direct authority and comfortable leading high-level architecture discussions across multiple cross-functional teams.

Preferred Credentials Experience in large-scale, regulated enterprise environments. Familiarity with Data Governance, metadata management, and federated development models. Equal Opportunity Employer / Disabled / Protected Veterans

About the company

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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