IT Architect, Architecture & Analytics – Enterprise Analytics

Key Responsibilities

• Architecture
• Design and maintain the overall architecture of the enterprise data lake using Microsoft Fabric for structured and unstructured data.
• Define data models, storage strategies, and data lifecycle management frameworks.
• Establish standards for data ingestion, transformation, and consumption layers (e.g., Bronze, Silver, Gold architecture), working closely with Governance and DevOps Specialist, and Data Engineer team
• Develop and maintain architectural blueprints, design documents, and integration standards.
• Promote reusable patterns, templates, and frameworks across teams.
• Source System Integration
• Architect integration patterns for enterprise systems (e.g., Workday, MS Dataverse, Manhattan WMS, SaaS platforms, operational systems, external data providers).
• Design scalable ingestion frameworks for batch, streaming, and near real-time data pipelines.
• Define and implement API-based, event-driven, and file-based ingestion patterns.
• Ensure data quality, consistency, and traceability across all ingestion pipeline, following policies and procedures developed in partnership with Governance and DevOps specialist and other Architects.
• Platform & Technology Leadership
• Provide technical leadership on Microsoft Fabric capabilities including Data Factory, OneLake, Lakehouse, Warehousing, OneLake Catalog, Fabric IQ, Synonyms & Linguistics and Real-Time Analytics.
• Evaluate and recommend tools Microsoft and non-Microsoft platforms (i.e. Databricks, Aws, etc..), frameworks, and best practices for modern data architecture.
• Ensure alignment with enterprise IT strategy, security standards, and governance policies.
• Support business data analyst to ensure good design patterns are followed in self-serve report and dashboard development.
• Performance & Scalability
• Optimize data pipelines and storage for performance, cost-efficiency, and scalability.
• Design architectures that support high-volume, high-velocity data processing.
• Guide and assist citizen developers to create scalable, high-performing semantic models.
• Collaboration & Stakeholder Engagement
• Partner with business stakeholders, data engineers, analysts, and data scientists to understand requirements and translate them into architectural solutions.
• Act as a trusted advisor for data-driven initiatives and digital transformation programs.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 6+ years of experience in data and analytics architecture, data engineering, and big data analytics platforms
• Proven experience designing enterprise-scale data lakes or Lakehouse architectures.
• Hands-on experience with Microsoft Fabric or closely related Azure data services.
• Strong expertise in data integration patterns (ETL/ELT, APIs, streaming, event-driven architecture).
• Knowledge of real-time analytics and streaming technologies.
• Experience integrating non-ERP enterprise systems with structured and unstructured data into data lake via could services.
• Proficiency in Medallion Architecture, Fabric Workloads, PySpark, SQL, KQL, DAX, Semantic Model Designs, and Power Query.
• Experience working in highly motivated cross-functional environments with both technical and business stakeholders.
• Experience with large scale modern data and analytics transformations within a CPG company, implementing new platforms and data lakes, defining new ways of working to drive business value and outcomes through data and analytics in a self-server culture.
• Serve as a primary liaison facilitating effective communication and collaboration among Data Engineering, Business Intelligence, Security, Architecture teams, and various business units.
• (Preferred) Understand of data requirements of Agentic AI and MLL
• (Preferred) Certifications in Azure (AZ-305) and Fabric (DP-700, DP-600)
• (Preferred) Familiarity with data governance tools and frameworks.
• (Preferred) Experience with DevOps/DataOps practices and CI/CD for data pipelines.
• Key Competencies Strategic thinking and architectural design expertise Strong problem-solving and analytical skills Excellent communication and stakeholder management Ability to balance innovation with practical implementation Leadership and mentorship capabilities
• Strategic thinking and architectural design expertise
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to balance innovation with practical implementation
• Leadership and mentorship capabilities

We support and take care of our employees and their families by offering

Salary

• $117,560 to $154,300

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