Remote MS Azure Data Architect

Description:

• We are seeking a highly experienced Data Architect with a strong background in designing scalable data solutions and leading data engineering teams.
• The ideal candidate will have deep expertise in Microsoft Azure, ETL processes, and modern data architecture principles.
• This role involves close collaboration with stakeholders, engineering teams, and business units to design and implement robust data pipelines and architectures.
• Responsibilities include assessments of existing data components, performing POCs, and consulting with stakeholders.
• The candidate will propose end-to-end solutions to enterprise data-specific business problems, managing data collection, extraction, integration, cleansing, enriching, and data visualization.
• The role requires the ability to design large data platforms to enable Data Engineers, Analysts, and Scientists.
• Strong exposure to different data architectures, data lakes, and data warehouses is essential.
• The candidate will design and implement end-to-end data architecture solutions on the Azure cloud platform.
• Leading the design and development of scalable ETL/ELT pipelines using tools such as Azure Data Factory (ADF) is a key responsibility.
• The role includes architecting data lakes using Azure Data Lake Storage (ADLS) and integrating with Azure Synapse Analytics for enterprise-scale analytics.
• Collaboration with business analysts, data scientists, and engineers to understand data needs and deliver high-performing solutions is required.
• The candidate will define data models, metadata standards, data quality rules, and security protocols.
• Defining tools and technologies to develop automated data pipelines, writing ETL processes, developing dashboards and reports, and creating insights is part of the job.
• Continually reassessing the current state for alignment with architecture goals, best practices, and business needs is necessary.
• Responsibilities also include database modeling, deciding the best data storage, creating data flow diagrams, and maintaining related documentation.
• The candidate must ensure performance, reliability, reusability, resilience, scalability, security, privacy, and data governance while designing data architecture.
• Applying or recommending best practices in architecture, coding, API integration, and CI/CD pipelines is expected.
• Coordination with data scientists, analysts, and other stakeholders for data-related needs is essential.
• The candidate will help the Data Science & Analytics Practice grow by mentoring junior practice members and leading initiatives.
• Providing thought leadership by representing the Practice/Organization on internal and external platforms is also part of the role.

Requirements:

• The candidate must have 8+ years of experience in data architecture, data engineering, or related roles.
• The ability to translate business requirements into data requests, reports, and dashboards is required.
• Strong database and modeling concepts with exposure to SQL and NoSQL databases are necessary.
• Expertise in designing and writing ETL processes in Python/PySpark is essential.
• The candidate should have strong data architecture patterns and principles, with the ability to design secure and scalable data lakes, data warehouses, data hubs, and other event-driven architectures.
• Proven expertise in Microsoft Azure data services, especially ADF, ADLS, and Synapse Analytics, is required.
• Strong hands-on experience in designing and building ETL/ELT pipelines is necessary.
• Proficiency in data modeling, SQL, and performance tuning is expected.
• Demonstrated leadership experience, with the ability to manage and mentor technical teams, is required.
• Excellent communication and stakeholder management skills are essential.
• Proficiency in data visualization tools like Tableau, Power BI, or similar to create meaningful insights is necessary.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
• Good to have: Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect) and experience with modern data platforms, data governance frameworks, and real-time data processing tools.

Benefits:

• The position offers a flexible work environment, allowing for remote work or a blend of office and home settings.
• Employees will be part of a global team, learning from top talent around the world and across cultures, with English as the primary language.
• The company emphasizes well-being, focusing on fitness offerings, mental health plans, and generous time off to ensure team members operate at their best.
• The professional services model enables accelerated career growth and development opportunities across projects, offerings, and industries.
• The company is an equal opportunity employer, committed to values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology and reinforce diversity.
• Joining the company means being part of a global tech community, with opportunities to learn more about the organization through their LinkedIn site and Careers page.