Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.

Do You Dream Big?

We Need You.

Job Description

Job Title: Data Architect

Location: Bengaluru

Reporting to: Senior Manager Data Engineering

• Purpose of the role
  
  

We are seeking a skilled and motivated Azure Data Architect to join our dynamic team. The ideal candidate will have hands-on experience with Microsoft Azure cloud services, data engineering, and a strong background in designing and implementing scalable data solutions.

• Key tasks & accountabilities
• Architecting Optimal Solutions
• Design and implement robust data architectures using Azure Databricks and ADLS aligned with the medallion architecture (bronze, silver, and gold layers), in the Data Mesh set up
• Ensure scalability, performance, and cost efficiency in data extraction, ingestion, and transformation processes.
• Governance and Quality Standards
• Define and review governance frameworks and quality standards for data pipelines.
• Collaborate with data engineers to ensure compliance with organizational and regulatory standards.
• Code Review and Optimization
• Conduct thorough code reviews to ensure optimal performance and alignment with stakeholder requirements.
• Provide guidance on best practices for coding and data pipeline development.
• Data Modelling and Complex Transformations
• Define data modeling requirements to support complex transformations as required by stakeholders.
• Collaborate with business users to understand data transformation needs and ensure that the models meet those needs effectively.
• Data Governance Review
• Review and enhance data governance standards to ensure consistency, security, and compliance.
• Implement policies to monitor and maintain the quality and accessibility of data.
• Integration Design
• Design and define integration solutions between systems, ensuring seamless data flow and communication.
• Leverage Azure native tools and services for system integrations where applicable.
• Cost Estimation and Management
• Provide cost estimates for proposed architectures and solutions.
• Optimize resource usage to minimize costs while maintaining performance and reliability.
• Proposing Data Consumption Solutions
• Design optimal solutions for data consumption, catering to analytical, reporting, and operational needs.
• Ensure user-friendly access to data through appropriate tools and interfaces.
• Qualifications, Experience, Skills
  
  

Level Of Educational Attainment Required

• Bachelor of Technology
  
  

Previous Work Experience

• Min 9 Years of Experience
  
  

Preferred Experience

• Familiarity with Unity Catalog for data governance and sharing.
• Hands-on experience with data mesh architectures and distributed data platforms.
• Knowledge of CDC tools such as Aecorsoft for real-time data extraction.
  
  

Technical Skills -

• Technical Expertise
• Proven experience in Azure Databricks and ADLS architecture and implementation.
• Strong knowledge of medallion architecture and data lake design.
• Expertise in SQL, Python, and Spark for building and optimizing data pipelines.
• DevOps, CICD
• Familiarity with data integration tools and techniques, including Azure-native solutions.
• Key requirement - SAP ECC & S4Hana integration experience and experience in data modelling of the SAP ECC Finance modules, e.g., Account receivable, Account Payable, General Ledger, Inventory, TAX etc.
  
  

• Governance and Modeling:
• Experience in defining data governance frameworks and standards.
• Strong understanding of data modeling techniques and principles.
• Analytical Skills:
• Ability to analyze business requirements and translate them into scalable technical solutions.
• Proficiency in estimating costs and managing budgets for large-scale data projects.
• Soft Skills:
• Excellent communication skills to collaborate with cross-functional teams and stakeholders.
• Strong problem-solving skills and a proactive approach to technical challenges.
  

And above all of this, an undying love for beer!

We dream big to create future with more cheers