Big Data Solutions Architect

We serve the world by making food people love. As one of the world’s leading food companies, General Mills believes that food should make us better. Food brings us joy and nourishes our lives, connecting us to each other and the earth. General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Häagen-Dazs, Nature Valley, Betty Crocker, Pillsbury, Annie’s, Lara Bar, Yoplait and more.

General Mills is seeking a Big Data Solutions Architect with Hadoop experience to act as a key technical leader in our Data and Analytics organization.

* Act as a key Data & Analytics technical leader within General Mills * Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem * Collaboratively define overall modeling standards, guidelines, best practices and approved modeling techniques. * Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space. * Partner with business analysts and enterprise architects to develop technical architectures for strategic enterprise projects and initiatives. * Analyze business requirements; construct the conceptual/logical model and data flow processes to support the requirements. * Lead design, code & process review sessions to ensure compliance with established standards, policies, and performance guidelines. * Communicate data architecture to development teams and ensure business needs are met through consulting and design reviews * Collaboratively troubleshoot technical and performance issues in the big data ecosystem

* Bachelor’s Degree required; Computer Science, MIS, or Engineering preferred * 3 years of IT experience, 5+ preferred * 1 year of hands-on experience working as a Data Architect * Experience working directly with business clients to design a solution that meets business requirements; ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations. * Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. * Experience with design and implementation of ETL/ELT/Streaming processes for complex data analytics projects * Database development experience using Oracle, SQL Server, SAP BW or SAP HANA * Big Data Development experience using Hive/Impala or Spark. * Effective verbal and written communication and influencing skills. * Effective analytical and technical skills. * Ability to work in a team environment * Ability to research, plan, organize, lead, and implement new processes or technology