Senior Data Architect

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Help chart the course of Coca-Cola from a beverage company to a technology company! You will work in Global Data & Advanced Analytics organization that is responsible for building cloud-based analytics products that directly impacts Coca-Cola’s business growth globally.

Our office culture is casual, fun and social, with an emphasis on continuous learning. Our development teams are small and embrace agile principles to quickly generate value to our stakeholders. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.

What You’ll Do

We are looking for a Senior Data Architect with deep knowledge in data modeling and data engineering using Azure Data stack and Spark.

• Mentor and coach Big Data teams on design, architecture, and implementation of end-to-end solutions.
• Participate in collaborative software and system design and development of the analytical products using Azure Data Services (Synapse, ADF, Analysis Services, Spark/Databricks, PowerBI etc.)
• Develop logical, conceptual and physical models for different subject areas that serve the analytical needs of various personas.
• Optimize the azure services for different workloads (batch, streaming, ad-hoc queries, ETL, ML etc.) and cost.
• Simplify data flows and remove unrelated cost from complex and fragmented enterprise data systems.
• Manage own learning and contribute to technical skill building of the organization.
• Inspire and cultivate the engineering mindset and systems thinking within the team.
• Ensure conceptual and architectural integrity of the platform and solution.
• 100% hands-on development.

Required Qualifications

• Bachelor’s degree or higher in Computer Science or a related field.
• Good understanding of distributed computing and big data architectures.
• Proven experience in developing data solutions with Azure Data Services (Synapse, Databricks, Azure Analysis Services).
• Highly proficient in SQL and performance tuning of ETL jobs.
• Hands-on experience with Spark and Delta Lake.
• Hands-on experience with workload orchestration and automation tools like ADF, AutoSys, RunMyJobs, Control-M etc.
• Deep knowledge in data modeling and hands-on experience in designing, implementing and tuning data models for ETL, data warehousing and analytical workloads.
• Experience in building semantic models in Azure Analysis Services and/or SSAS.
• Experience in building datasets, dashboards, and visualizations in Power BI.
• DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system.
• Should believe in You Build! You Ship! And You Run! Philosophy.
• Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence.

Desired Qualifications

• Experience with ETL tools like Informatica, Talend, Pentaho, Attunity etc.
• Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas. Knowledge of Teradata, Netezza & Informatica etc.
• Good grounding in NoSQL data stores such as CosmosDB, MongoDB etc.
• Experience in building event-driven architectures leveraging serverless offerings.