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Azure Data lead/ Architect

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Onsite

Azure Data lead/ Architect

E-Solutions

Azure Data lead/ Architect

Skills

SQL QueriesData EngineeringDatabricksData AnalysisScalaPySparkComplianceAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Minneapolis, MN, USA

Work mode:

Onsite

Published on:

16 August 2026

What they need


Azure Data lead/ Architect

Location: Minneapolis, MN OR Dallas, TX (Onsite)

Role Summary

Technical Lead - Data Engineering with 10+ years of experience in designing, building, and leading enterprise-scale data platforms and analytics solutions on Azure Cloud. The role requires a strong blend of technical expertise, solution architecture, stakeholder management, and team leadership.

Roles, Responsibilities & Skills

  • Lead the design, architecture, and implementation of scalable Data Lakehouse, Data Warehouse, and Analytics solutions on Azure Cloud.

  • Architect and develop data pipelines using Azure Databricks, PySpark/Scala, Azure Data Factory (ADF), ADLS, and Azure SQL.

  • Drive performance optimisation and large-scale data processing on Azure Data Lake Storage (ADLS).

  • Design and implement CI/CD pipelines, infrastructure automation, and DevOps best practices for cloud data platforms.

  • Provide technical leadership for cloud migration and modernisation initiatives leveraging Azure PaaS and IaaS services.

  • Work closely with customers and stakeholders to understand business requirements, define use cases, and establish solution roadmaps.

  • Participate in solution design workshops, effort estimation, architecture reviews, and status governance meetings.

  • Ensure adherence to data governance, data quality, security, compliance, and best-practice standards.

  • Collaborate with Data Analysts, Business Analysts, SMEs, and Governance teams for data profiling, cleansing, source system analysis, and issue resolution.

  • Drive continuous improvement initiatives and proactively identify opportunities for optimisation and innovation.

  • Mentor and coach team members through technical guidance, code reviews, and competency-building initiatives.

  • Build high-performing teams and contribute to capability development within the organisation.

  • Strong communication, stakeholder management, problem-solving, and leadership skills with experience leading cross-functional teams.

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