Azure Data Tech Lead / Architect/Remote

Job Title: Azure Data Tech Lead / Architect

Location-Remote

Job Summary

We are seeking an experienced Azure Data Tech Lead / Architect to design and lead the implementation of scalable, secure, and high-performance data platforms on Microsoft Azure. This role combines hands-on technical expertise with leadership responsibilities, guiding teams in building modern data solutions and ensuring alignment with business objectives.

Key Responsibilities

• Design and architect end-to-end data solutions on Azure
• Lead development of data pipelines, data lakes, and data warehouses
• Define and implement data architecture standards and best practices
• Work closely with stakeholders to translate business requirements into data solutions
• Oversee data integration, transformation, and orchestration processes
• Ensure data security, governance, and compliance
• Mentor and guide data engineers and developers
• Optimize data systems for performance, scalability, and cost efficiency
• Evaluate and recommend Azure data services and tools
• Support production deployments and troubleshoot complex data issues

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 8–12 years of experience in data engineering / data architecture
• Strong expertise in Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake)
• Proficiency in SQL, Python, or Scala
• Experience with ETL/ELT processes and big data technologies
• Strong understanding of data modeling techniques (dimensional, normalized)
• Experience with data warehousing and analytics solutions

Preferred Qualifications

• Azure certifications such as:
  • Azure Data Engineer Associate
  • Azure Solutions Architect Expert
• Experience with real-time/streaming data (e.g., Event Hub, Kafka)
• Knowledge of BI tools (Power BI, Tableau)
• Familiarity with data governance and catalog tools
• Exposure to multi-cloud or hybrid architectures

Key Skills

• Data architecture & system design
• Technical leadership & mentoring
• Problem-solving and analytical thinking
• Stakeholder communication
• Performance tuning & optimization
• Decision-making and ownership

Working Relationships

• Data Engineering Teams
• Data Scientists & Analysts
• Cloud & DevOps Teams
• Business Stakeholders & Leadership

Success Metrics

• Scalability and performance of data platforms
• Data quality and reliability
• Timely delivery of data solutions
• Adoption of best practices and standards
• Team productivity and technical growth