Senior Data Architect for Enterprise Data Engineering

3 days ago

Hyderabad, Telangana, India PepsiCo Full time

At PepsiCo, we're driven by a shared purpose to make a difference in the lives of our consumers and customers. As a Senior Data Architect for Enterprise Data Engineering, you'll play a critical role in shaping our data-driven strategy and delivering high-quality solutions that meet the needs of our business.

About Us

We're one of the world's leading food and beverage companies, with a diverse portfolio of beloved brands and a commitment to sustainability and social responsibility. Our success is driven by our talented and dedicated employees, who share a passion for innovation and excellence.

About the Role

This is an exciting opportunity to join our team as a Senior Data Architect, responsible for designing and implementing data processing pipelines using Databricks, Spark, Python, and other tools and languages prevalent in the Azure ecosystem. You'll work closely with product managers, solution architects, engineers, and data scientists to deliver key Enterprise Data Warehouse and Azure Data Lake projects within time and budget.

Responsibilities
  • Lead delivery of key Enterprise Data Warehouse and Azure Data Lake projects within time and budget
  • Drive solution design and build to ensure scalability, performance, and reuse of data and other components
  • Ensure on-time and on-budget delivery, which satisfies project requirements while adhering to enterprise architecture standards
  • Oversee coordination and partnerships with Business Relationship Managers, Architecture, and IT services teams to develop and maintain EDW and data lake best practices and standards along with appropriate quality assurance policies and procedures
Qualifications
  • Bachelor's or Master's degree in Computer Science, MIS, Business Management, or related field
  • 14 years of experience in Information Technology or Business Relationship Management
  • 8 years of experience in Data Warehouse, Azure Data Lake
  • 2 years of big data experience
  • Minimum 4 years of experience as a project lead
Technical Skills
  • Solutions Delivery experience in Data, BI, or Analytics projects - expertise in system development lifecycle, integration, and sustainability
  • Strong programming experience in Python, Scala, SQL
  • Experience working with Big Data processing frameworks within Azure, BLOB, ADLS, Databricks, Spark, Azure Data Factory, etc.
  • Experience working with Data Warehousing platforms and projects, experience with star schemas, slowing changing dimensions, etc.
  • Experience working with Big Data streaming services and tools such as Kafka, Spark Streaming, etc.
Non-Technical Skills
  • Excellent remote collaboration skills
  • Experience working in a matrix organization with diverse priorities
  • Experience dealing with and managing multiple vendors
  • Exceptional written and verbal communication skills along with collaboration and listening skills
  • Ability to work with agile delivery methodologies
  • Ability to ideate requirements, design iteratively with business partners without formal requirements documentation

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