Senior Data Engineer & Platform Architect (Hybrid)

Suna Solutions

Pasadena (CA)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Suna Solutions is seeking a Senior Data Engineer / Data Architect to lead modernization of the enterprise data platform. This role combines data architecture, engineering, governance, security, and technical leadership.

Responsibilities include shaping the data lake/lakehouse architecture, building scalable pipelines, and driving governance standards across quality, metadata, lineage, and access controls. The candidate will mentor engineers and collaborate with security, infra, and business

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, or related field.
  • 7+ years of experience in data engineering, data architecture, BI, or enterprise data platforms.
  • Strong hands-on experience with Microsoft Fabric, Azure Synapse, ADLS Gen2/OneLake, Power BI, Power Automate, and Microsoft Purview.
  • Strong knowledge of data lake/lakehouse architecture, data warehousing, dimensional modeling, semantic models, and data governance.
  • Advanced SQL and ETL/ELT experience.

Responsibilities

  • Assess and improve enterprise data lake/lakehouse architecture across Raw, Curated, and Serving layers.
  • Design and modernize data solutions using Microsoft Fabric, Azure Synapse, ADLS Gen2/OneLake, Power BI, and Purview.
  • Develop and maintain scalable ETL/ELT pipelines, data models, integrations, and reporting datasets.
  • Establish data governance standards covering quality, metadata, lineage, cataloging, security, and access controls.
  • Lead architecture assessments, roadmaps, design reviews, and modernization initiatives.

Skills

Data engineering
Data architecture
Governance
Security
Leadership

Education

Bachelor's degree in CS/IT/Engineering

Tools

Microsoft Fabric
Azure Synapse
ADLS Gen2/OneLake
Power BI
Power Automate
Microsoft Purview

Job description

Suna Solutions is seeking a Senior Data Engineer / Data Architect to lead modernization of the enterprise data platform. This role combines data architecture, engineering, governance, security, and technical leadership.

Responsibilities include shaping the data lake/lakehouse architecture, building scalable pipelines, and driving governance standards across quality, metadata, lineage, and access controls. The candidate will mentor engineers and collaborate with security, infra, and business

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