Data Architect

Data Architect acts as a key technical leader in our Data and Analytics organization. 

Department: Data & Analytics
Project Location(s): Brooklyn, NY, US
Education: Bachelor's Degree, TOGAF


  • Act as a key Data & Analytics technical leader within General Mills
  • Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem
  • Lead the design and implementation of sustainable tools & processes to support the big data ecosystem
  • Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem
  • Participate in the evaluation, implementation, and deployment of emerging tools & process in the big data space.
  • Develop communication & education plans for technical teams on technologies and processes in our big data ecosystem
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Collaboratively troubleshoot technical and performance issues in the big data ecosystem.

Skill Set

  • At least 10 years of hands-on experience in data management systems, data warehousing methodology, data quality, data modeling, data governance,
  • Proven experience in architecture and design of enterprise data solutions, analytics and predictive modeling
  • Bachelor’s or Master’s Degree in Information Technology, Computer Science, or a related quantitative discipline
  • Demonstrated leadership skills with experience in leading and mentoring technical staff in software and product developments
  • Demonstrated experience translating business and technical requirements into comprehensive software solutions
  • Demonstrated experience on Insurance industry 
  • Significant experience in developing and implementing reusable data services
  • Extensive background and expertise in developing and managing data technologies, technical operations, and related tools and technologies
  • Working knowledge of IT governance frameworks, concepts, methodologies and modeling techniques
  • Expertise in SQL Server, ETL, Data Warehouse design and architecture – Snowflake, BI reporting and Dashboard development
  • Expertise in Hadoop / HIVE / PIG / Cloudera, Data architecture design and implementation, RDBMS platform and database schema design
  • Advanced knowledge of Business Intelligence and Analytics domains – Predictive analytics, Prescriptive models, text analytics, statistics, machine learning, data management, data architecture, NLP, data governance, etc
  • Knowledge of data architecture and design patterns and the ability to apply them
  • Ability to learn and adapt quickly to new business domains and technologies
  • Strong analytical and problem solving skills
  • Ability to conceptualize and articulate ideas clearly and concisely
  • Brings a high-energy and passionate outlook to the job and can influence those around them
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace
  • Passion for innovation and “can do” attitude
  • Excellent communication, presentation and interpersonal skills
  • Hands-on experience with modern enterprise data architectures and data toolsets (ex: data warehouse, data marts, data lake, 3NF normalization and dimensional models, modeling tools, profiling tools)

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