Lead Product Solutions Architect, Enterprise Applications

Description

• Collaborate with the Platform Leads and Senior Product Manager to ensure solution designs are executable within agreed timelines, budgets, and resourcing plans.
• Support cross-team knowledge sharing through documentation, showcases, and collaboration tools.
• Enforce governance and best practices, including:
• Ensure adherence to file organization structures within the lake (bronze, silver, gold layers) to maintain quality, accessibility, and scalability.
• Serve as the primary escalation point for complex or cross-domain solutions that require executive-level engagement and prioritization.
• Champion continuous improvement and innovation within the PSA practice, including reusable design patterns and accelerators.
• Advocate for HIVE adoption by demonstrating platform capabilities and communicating value to senior business leaders.
• Mentor Product Solutions Architects across business domains, promoting consistency in design and delivery approaches.
• Partner with other Product Managers and business stakeholders during ideation, roadmap planning, and intake to ensure solutions are aligned with strategic objectives.
• Lead the design of end-to-end data products leveraging the Databricks Lakehouse, Azure Data Lake (bronze/silver/gold layers), and related analytics tools.
• Facilitate workshops and discovery sessions to define requirements, success criteria, and criticality levels for products.
• Drive data quality processes and partner with the Governance Lead to monitor compliance with standards and policies.
• Translate business objectives into technical designs, ensuring alignment with enterprise architecture, security, compliance, and governance standards.

Requirements

• Strong understanding of data governance frameworks, cataloguing, business glossary, and MDM.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business, or a related field is required.
• Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
• Master Data Management (MDM)
• Proficient with: Backlog grooming, KPI tracking, SharePoint, data governance and quality frameworks.
• Experience in the renewable energy sector or a similarly complex, data-rich industry is highly desirable.
• Depth of knowledge regarding corporate SaaS business and financial system integrations including, but not limited to ERP, CRM, and CLM.
• Expertise in Databricks Lakehouse, Azure Data Lake Storage, Azure DevOps, and enterprise BI/AI platforms.
• Data Terms, Schema, and Reference Data
• 8+ years of experience in data architecture, analytics, or solution design roles, including 3+ years in a senior or lead capacity.
• Exceptional communication skills with the ability to translate between business and technical audiences.
• Experience working in Agile environments and managing competing priorities.
• Master’s degree in a related field or MBA is preferred.
• Ability to translate business challenges into scalable, governed data solutions and product frameworks.
• Expertise in: Product Lifecycle Management, Agile/Scrum/SAFe methodologies, Azure DevOps.
• Experience/Exposure to: Databricks, Azure Data Lake, Power BI, Microsoft Purview, LucidChart/Spark, Monday.com, Oracle, Salesforce, Agiloft, custom analytics and workflow applications.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance