Senior Data Architect

Arkhya Tech. Inc.; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Arkhya Tech. Inc. seeks a Technical Lead - Data Engineering to design, build, and lead enterprise-scale data platforms on Azure. The role emphasizes architecture, governance, and stakeholder collaboration to deliver scalable analytics solutions.

The ideal candidate has 10+ years in data engineering and cloud experience, strong leadership, and a track record of driving data-driven initiatives across cross-functional teams.

Qualifications

• 10+ years in data engineering with enterprise-scale platforms.
• Experience designing data lakes/data warehouses on Azure.
• Strong leadership, architecture, and stakeholder mgmt skills.

Responsibilities

• Lead design and implementation of Data Lakehouse, Data Warehouse, and Analytics solutions on Azure.
• Architect and develop data pipelines using Databricks, PySpark/Scala, ADF, ADLS and Azure SQL.
• Drive performance optimization 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 modernization initiatives.

Skills

Leadership

Stakeholder mgmt

Cross-functional team leadership

Azure cloud

Data architecture

Data governance

Cloud migrations

Perf optimization

Mentoring

Education

Bachelor's degree or higher

Tools

Azure Databricks

PySpark/Scala

Azure Data Factory

ADLS

Azure SQL

Job description

Location: Minneapolis, MN (Onsite)USA ONLY

NOTE :Any visa is fine including transfers.

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.