Senior buyer h1.location_city
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Senior buyer • stamford ct
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Job Description
Requirements
Required Qualifications: Experience: Proven track record working as a Technology or Data Architect with specific, hands-on expertise in ETL. Technical Stack: Deep expertise in modern data platforms, including cloud environments, data lakes, and data warehouses. Governance & Security: Strong understanding of data governance, security protocols, and compliance standards. Soft Skills: Exceptional communication, interviewing, and stakeholder engagement skills. Ability to translate complex technical concepts to cross-functional teams. Bonus: Relevant industry certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Snowflake) and a portfolio of relevant case studies.
PLEASE NOTE:
- It is a 100% On-site position, City of Stamford, CT.
- Contract Duration: 6 months.
JOB DESCRIPTION:
We are seeking an experienced and strategic Senior Data Architect to lead a critical, 3-month engagement to modernize our data infrastructure. You will be responsible for assessing our current data landscape and designing a target-state, AI-ready architecture. This role requires a blend of deep technical expertise in modern data platforms and strong stakeholder management skills to ensure our data foundation can seamlessly support future BI and ML initiatives.
Key Responsibilities:
- Evaluate our current data architecture, platforms, and data flows to identify gaps and opportunities.
- Lead discovery interviews and collaborate closely with data owners and custodians across multiple departments, including Engineering, Public Safety, Data Analytics, Operations, and Technology teams.
- Design a scalable, target-state data architecture (evaluating cloud, hybrid, or on-prem options) tailored for AI, ML, and BI readiness.
- Define comprehensive data models, robust integration/ETL patterns, and foundational governance frameworks.
- Recommend specific tools, technologies, and industry best practices to support the target-state design.
Requirements
Required Qualifications:
- Experience: Proven track record working as a Technology or Data Architect with specific, hands-on expertise in ETL.
- Technical Stack: Deep expertise in modern data platforms, including cloud environments, data lakes, and data warehouses.
- Governance & Security: Strong understanding of data governance, security protocols, and compliance standards.
- Soft Skills: Exceptional communication, interviewing, and stakeholder engagement skills. Ability to translate complex technical concepts to cross-functional teams.
- Bonus: Relevant industry certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Snowflake) and a portfolio of relevant case studies.
Expected Deliverables & Milestones:
You will be expected to deliver the following by the end of the engagement (July 1, 2026):
- Architecture Diagrams: Comprehensive current-state and target-state AI-ready (BI/ML) architecture diagrams.
- Standards Documentation: Clearly defined data architecture standards and design principles.
- Tech Recommendations: A formalized report detailing technology and tooling recommendations.
- Implementation Roadmap: A step-by-step implementation roadmap complete with project milestones.
- Final Report & Hand off: Final architecture documentation and a structured knowledge-transfer session with internal teams.
Requirements
Required Qualifications: Experience: Proven track record working as a Technology or Data Architect with specific, hands-on expertise in ETL. Technical Stack: Deep expertise in modern data platforms, including cloud environments, data lakes, and data warehouses. Governance & Security: Strong understanding of data governance, security protocols, and compliance standards. Soft Skills: Exceptional communication, interviewing, and stakeholder engagement skills. Ability to translate complex technical concepts to cross-functional teams. Bonus: Relevant industry certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Snowflake) and a portfolio of relevant case studies.