Data Platform Engineering Lead is responsible for architecting, building, and managing the organization's data platform foundations. This role involves designing, implementing, and maintaining scalable, reliable, and secure data platforms to support business insights, analytics, and other data-driven initiatives.

Job Specification (Technical Skills):

• Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview.
• Strong proficiency in Azure or Snowflake or AWS or GCP is required.
• Data Engineering: Advanced proficiency in SQL, Python, and at least one additional programming language (Java, C#, C++) is desired. Proven experience with data warehousing and data lake technologies. Solid understanding of database systems (SQL, NoSQL).
• Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements.
• Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools.

Key Responsibilities:               
Platform Adoption and Activation

• Drive the adoption of new data technologies and platforms across the organization.
• As MGS Data Platform Engineer, collaborate with business segments (MW Snacking, Petcare, Royal Canin) to identify data platform requirements and develop tailored solutions working with vendors such as Microsoft, Databricks, Snowflake etc.,
• Develop and implement strategies for activating new platforms, frameworks, and technologies within the MARS, deploy to segments and corporate teams within MGS.
• Ensure seamless integration of new technologies with existing MARS data infrastructure.

Platform Engineering and Maintenance

• Optimize Enterprise MARS data platform for performance, scalability, reliability and security.
• Implement data quality, governance and security technologies to harmonise & protect MARS data platform.
• Ensure reusable frameworks (Eg. data quality, governance) are built and deployed across MARS.
• Collaborate with segments data platform engineers and analysts to support data-driven initiatives.

Technology Evaluation and Implementation

• Research and evaluate emerging data technologies and scalable platforms.
• Conduct proof-of-concept (POC) projects to assess new technologies.
• Develop recommendations for technology adoption and implementation.
• Stay up-to-date with industry trends and best practices.

What can you expect from Mars?

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.

#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.