GG Tech Global
Senior Data Engineer / Data Architect
Los Angeles, California · Senior
Sponsorship not specifiedDetected 22 days ago
GitSQLSnowflakeAzureCloud PlatformsCI/CDDevOpsPlatform EngineeringData EngineeringData VisualizationCybersecurityComplianceLeadershipCommunicationMentoringPublic Speaking
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Third-party placement is common here
30% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: HealPros · Los Angeles County Employees Retirement Association (LACERA)
Files H-1B transfers
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About the role
- The ideal candidate will combine hands-on engineering depth with architecture leadership, governance discipline, strong communication skills, and the ability to guide cross-functional teams through complex data platform decisions.
- Leading architecture recommendations and roadmap proposals for Azure Synapse, Microsoft Fabric, ADLS Gen2 / OneLake alignment, Power BI semantic models, CI/CD, monitoring, and scalable data platform modernization.
- Establishing data governance processes and controls, including data cataloging, metadata standards, business glossary alignment, lineage, sensitivity labeling, data quality thresholds, access governance, and audit evidence retention.
Responsibilities
- This role combines solution architecture, data engineering, governance design, technical leadership, and operational support.
- Assessing the current data lake architecture, including Raw, Curated, and Serving zones, ingestion patterns, transformation layers, security boundaries, lineage, and operational support model.
- Defining operational standards for pipeline monitoring, alerting, incident triage, reconciliation, performance tuning, release validation, rollback planning, and production support readiness.
- Providing technical leadership, knowledge transfer, architecture guidance, code and design reviews, and mentoring for data engineers, BI developers, analysts, and data management team members.
- Creating architecture documentation, standards, design decision records, governance procedures, runbooks, and executive-ready recommendations for major data platform changes.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Minimum of 7 years of experience in data engineering, data architecture, business intelligence platform engineering, or enterprise data platform delivery is required.
- Strong proficiency with Azure Synapse, Microsoft Fabric, ADLS Gen2 / OneLake concepts, Power BI, Power Automate, Microsoft Purview, and Azure data integration patterns is required.
- Strong knowledge of data lake architecture, lakehouse patterns, data warehousing, dimensional modeling, semantic modeling, metadata management, and enterprise data governance best practices is required.
- Experience leading architecture assessments, proposing target-state architecture changes, documenting technical roadmaps, and presenting recommendations to technical and non-technical stakeholders is required.
- Advanced SQL skills and experience with ETL/ELT development, pipeline orchestration, data modeling, performance tuning, data reconciliation, and troubleshooting complex data issues is required.
- Ability to mentor technical staff, establish engineering standards, lead design reviews, and promote consistent development, documentation, and support practices across the data management team is required.
Nice to have
- Senior Data Engineer / Data Architect
- Optional working knowledge of Snowflake architecture and administration concepts is preferred, including the storage, compute, and cloud services layers
- virtual warehouses
- micro-partitioning and clustering
- role-based access control
- masking policies
- secure data sharing
- resource monitors
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This listing is sourced directly from GG Tech Global's careers page and normalized into a canonical job model.