Lead Product Solutions Architect, OPS

Description

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

Requirements

• Experience/Exposure to: Databricks, Azure Data Lake, Power BI, Microsoft Purview, LucidChart/Spark, Monday.com, Azure Synapse, Azure Event Hubs, iPaaS, Boomi, MQTT brokers, Modbus TCP, X.509 PKI, NERC CIP, SOC 2, Python, SQL.
• 8+ years of experience in data engineering, IoT systems, or product management with a focus on operational data.
• Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business, or a related field is required.
• 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.
• Working knowledge of security and compliance standards relevant to energy operations, particularly NERC CIP and SOC 2.
• Familiarity with distributed data platforms (e.g. Spark, Databricks, Kafka) and time-series databases (e.g. InfluxDB & TimescaleDB).
• Expertise in python and SQL, Databricks Lakehouse, Azure Data Lake Storage, Azure DevOps, and enterprise BI/AI platforms.
• Experience working in Agile environments and managing competing priorities.
• Expertise in: Product Lifecycle Management, Agile/Scrum/SAFe methodologies, Azure DevOps, python, and SQL.
• Depth of knowledge regarding SCADA systems, IoT data ingestion, and industrial networking protocols (e.g. Modbus, DNP3, MQTT).
• Strong understanding of IoT authentication, networking and authorization (PKI, X.509, mutual TLS).
• Exceptional communication skills with the ability to translate between business and technical audiences.
• Master’s degree in a related field or MBA is preferred.
• Data Terms, Schema, and Reference Data
• Master Data Management (MDM)
• Ability to translate business challenges into scalable, governed data solutions and product frameworks.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance