Data Analyst IV

Job Title: Senior Data Systems Architect & Analytics Lead

Role Overview
We are seeking a Senior Data Systems Architect & Analytics Lead to serve as the technical engine behind our cloud-based data lakehouse environment. This is a hands-on, high-complexity role for a data professional who thrives at the intersection of engineering and analytics. You will be responsible for building complex data models, performing deep-dive troubleshooting on integrated systems, and enforcing robust data governance and security protocols.
This role requires a "builder" mentality. You will not only be responsible for performance tuning and debug capabilities across our stack, but you will also act as a primary stakeholder liaison-translating complex technical requirements into actionable, creative, and highly performant data products.

Key Responsibilities
Technical Execution & Systems Engineering
• Lakehouse Development: Design, build, and optimize data pipelines using Databricks and PySpark/Python. Own the end-to-end process from raw data ingestion to performance-tuned data modeling.
• Complex Troubleshooting: Serve as the technical lead for analyzing integrated systems. Conduct root-cause analysis on data pipeline failures, query performance bottlenecks, and system inconsistencies.
• BI & Data Visualization: Develop and performance-tune high-impact dashboards, ensuring that both operational and executive stakeholders have a "single source of truth" for their performance metrics.

Governance, Security & Strategy
• Data Security & Governance: Implement Role-Based and Attribute-Based Access Control (RBAC/ABAC) frameworks. Manage metadata and data lineage to ensure compliance, consistency, and traceability across the organization.
• Agile Leadership: Drive data product development within an Agile/SAFe framework. Manage backlogs, refine technical requirements, and facilitate cross-functional sprints.
• Stakeholder Enablement: Act as a technical consultant to the business. Facilitate training sessions, communicate complex data findings to non-technical audiences, and foster a "data-first" culture across virtual teams.

Qualifications & Requirements
Minimum Qualifications
• Education: Bachelor's degree in Computer Science, Data Analytics, Business, or equivalent experience.
• Experience Baseline: Extensive experience designing, deploying, and troubleshooting applications within a complex, cloud-hosted data lakehouse environment.
• Technical Mastery:
oCloud-Data Stack: Hands-on experience with Databricks, PySpark/Python, and at least one high-performance query engine.
oVisualization/Governance: Expert-level development and performance tuning in BI platforms (e.g., Tableau) and modern data governance/cataloging tools.
oSecurity: Demonstrated experience implementing data security architectures.
• Agile Proficiency: Deep experience with Agile/SAFe methodology and project management tools (e.g., Jira).

Preferred Attributes
• Industry-recognized certifications (e.g., CBAP, Agile Analysis, or Cloud Data Engineering certifications).
• Proven experience in technical "on-call" rotations, demonstrating high availability and reliability for mission-critical systems.
• Strong "Data Storytelling" ability; can translate a technical root-cause analysis into a business-level summary for leadership.

Equal Opportunity Employer / Disabled / Protected Veterans

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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.

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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Additional Skills

(none specified)


AllSTEM Representative Contact Info

Account Executive:


Nichols


Branch Phone:


View phone number on click.appcast.io


Location:


Ontario, CA