[Remote] Sr Analytics Architect
Note: The job is a remote job and is open to candidates in USA. Post Holdings is a Fortune 500 company focused on feeding the world with innovative growth strategies. The Sr Analytics Architect will lead the implementation and integration of data-driven solutions, utilizing modern data management and engineering technologies to enhance organizational analytics and business initiatives.
Responsibilities
- Deliver value through the pervasive use of modern technology to increase the velocity and accuracy of data delivery
- Design and develop scalable, high-performance data architectures capitalizing on the rapidly innovating features of technologies like Snowflake and dbt
- Deliver Snowflake Best Practices engagements across the key areas of Data Governance, Data Security, Cost Management, Data Engineering, and Individual Access Management
- Engage with divisional managers to understand challenges and recommend key innovative solutions
- Design and implement Snowflake Data Strategy to meet business goals
- Engage with senior leadership to develop applications for furthering critical business objectives and designing solutions anchored in DataOps principles
- Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality
- Consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert
- Collaborate with cross-functional teams to align data architecture with organizational objectives
- Work hands-on with AI infrastructure to ensure scalability and security
- Architect components of an LLM solution to address Responsible AI & Security
- Increase the velocity of our development and enable the organization to use their gifts to develop new features and datasets and less time on fixing them
- Protect the data pipeline by monitoring the production schedule and troubleshooting failures
- Anticipate, identify and solve issues concerning data management to improve data quality. Work across teams to resolve operational & performance issues
- Administer Snowflake security strategy and database management
- Drive the design and implementation of new data projects and optimize existing solutions
- Manage and optimize processes for data intake, validation, mining, engineering, modeling, visualization, and communication
- Supervise offshore analytic engineers for timely delivery and quality development
- Design and drive the strategy around data governance, data security and data privacy to support business and SOX compliance requirements
- Architect and design end-to-end Generative AI products, applications, and solutions for specific business needs and provide implementation guidance during delivery
- Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy
- Foster innovation by keeping abreast of emerging technologies and fostering development of the team’s skill
- Identify processes for system automation to improve team effectiveness
- Develop a Snowflake optimization methodology for cost and performance improvement
- Drive change management and adoption of new processes and automated solutions
- Research and test new technology solutions, assist in vetting architectural changes that would have to occur to support enterprise adoption and determine impacts
- Stay at the forefront of AI advancements, advising on emerging trends in GenAI, LLMs, and AI copilots
- Promote Advanced Analytics and using data driven decisions to be a competitive advantage across the Post Holdings network through strategic leadership and guidance
- Collaborate with senior leadership to promote data driven decision making across the enterprise
- Mentor and provide technical guidance to team members, fostering knowledge sharing and skills development within the team
- Direct the development of comprehensive training programs and documents with the goal of creating effective end-users for all advanced analytic tools
- Promote AI adoption, leading workshops, demos, and hands-on training sessions on AI tools like Doc AI and enterprise-grade models
Skills
- Bachelor's degree in Computer Science, Information Systems, or other quantitative subject preferred
- 7 years related experience or equivalent combination of education and experience considered
- 7 years of experience working with various Data Analysis, Data Warehousing / Data Lakes, Data Sharing, Data Engineering, Data Quality, Business Intelligence, or ERP software packages (Tableau, Informatica, SAP, Snowflake, Oracle, SQL Server, JDE) preferred
- Expertise in programming languages, including Structured Query Language (SQL), Python desired
- Strong experience in designing end-to-end AI solutions
- Working knowledge on any of the key ETL / data pipeline market tools such as dbt, Snowflake, Python, Informatica, Azure Data Factory is preferred
- Working knowledge of developing APIs
- Advanced user in Microsoft Office Suite, including PowerPoint & Visio; must have expert functional knowledge of Excel
- Deep understanding of modern Azure service offerings
- Data workflow management in systems like Automate, Airflow, or dbt
- Experience with JIRA / GitHub or other code management toolsets and experience with change control concepts
- Exceptional analytical skills & advanced problem-solving skills
- Knowledge of best practices in data analysis and data modeling
- Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and / or data issues to affected members of departments
- Expert ability to define and design solution options, evaluate technical feasibility and provide estimates on effort and risk
- Exceptional experience building positive relationships across teams and roles; business partners, engineering, architecture, and platforms
- Team oriented, results driven, love to learn, can-do attitude
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