Azure data lead/Architect

E-Solutions; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

E-Solutions in Dallas is seeking a Technical Lead - Data Engineering with 10+ years of experience to design, build, and lead enterprise-scale data platforms on Azure. You will architect data pipelines, mentor teams, and guide cloud migration, governance, and analytics initiatives.

Join a leadership-focused role demanding strong stakeholder management, cloud architecture skills, and hands-on experience with Databricks, ADF, and ADLS to drive transformational data projects.

Qualifications

• 10+ years of experience in designing, building, and leading enterprise-scale data platforms on Azure.
• Strong leadership and stakeholder management skills with experience guiding cross-functional teams.
• Experience with data governance, security, and compliance in cloud environments.

Responsibilities

• Lead design and implementation of Data Lakehouse, Data Warehouse, and Analytics solutions on Azure.
• Architect and develop data pipelines using Azure Databricks, PySpark/Scala, ADF, ADLS and Azure SQL.
• Drive performance optimisation for large-scale data processing on ADLS.
• Design CI/CD pipelines and DevOps practices for cloud data platforms.
• Provide technical leadership for cloud migration and modernisation initiatives on Azure.
• Collaborate with stakeholders to understand business requirements and define roadmaps.

Skills

Azure Databricks

PySpark/Scala

CI/CD

Cloud architecture

Data governance

Stakeholder management

Mentoring

Tools

Azure Databricks

Azure Data Factory

Azure SQL

ADLS

CI/CD

Job description

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.