Azure Data Architect

Summary

Join our team as a highly experienced Data Architect to design scalable data solutions and lead data engineering teams. You will leverage your expertise in Microsoft Azure, ETL processes, and modern data architecture principles. This role demands close collaboration with stakeholders to design and implement robust data pipelines and architectures. You will be responsible for assessing existing data components, proposing end-to-end solutions, and designing large data platforms. The position requires strong experience with various data architectures and Azure cloud platform implementation. Mentoring junior team members and providing thought leadership are also key aspects of this role.

Requirements

• 8+ years of experience in data architecture, data engineering, or related roles
• Translate business requirements into data requests, reports and dashboards
• Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
• Expertise in designing and writing ETL processes in Python/PySpark
• Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
• Proven expertise in Microsoft Azure data services, especially ADF, ADLS, Synapse Analytics
• Strong hands-on experience in designing and building ETL/ELT pipelines
• Proficiency in data modeling, SQL, and performance tuning
• Demonstrated leadership experience, with the ability to manage and mentor technical teams
• Excellent communication and stakeholder management skills
• Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Responsibilities

• Assess existing data components
• Perform POCs
• Consult to the stakeholders
• Propose end to end solutions to an enterprise's data specific business problems, and take care of data collection, extraction, integration, cleansing, enriching and data visualization
• Ability to design large data platforms to enable Data Engineers, Analysts & scientists
• Design and implement end-to-end data architecture solutions on Azure cloud platform
• Lead the design and development of scalable ETL/ELT pipelines using tools such as Azure Data Factory (ADF)
• Architect data lakes using Azure Data Lake Storage (ADLS) and integrate with Azure Synapse Analytics for enterprise-scale analytics
• Collaborate with business analysts, data scientists, and engineers to understand data needs and deliver high-performing solutions
• Define data models, metadata standards, data quality rules, and security protocols
• Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
• Continually reassess current state for alignment with architecture goals, best practices and business needs
• DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
• Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
• Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
• Coordinate with data scientists, analysts, and other stakeholders for data-related needs
• Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings
• Provide thought leadership by representing the Practice / Organization on internal / external platforms

Preferred Qualifications

• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect)
• Experience with modern data platforms, data governance frameworks, and real-time data processing tools

Benefits

• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach
• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams
• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best
• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries