Pattern Energy · 1 day ago
Senior Director, Enterprise Data Architecture and Analytics
Houston, TX
Full-time
Onsite
Director/Executive
$174K/yr - $216K/yr
12+ years expPattern Energy is a leading renewable energy company focused on transitioning the world to renewable energy. The Senior Director of Enterprise Data Architecture & Analytics will lead the company's data and analytics function, setting the vision and strategy for a scalable, AI-ready data foundation that aligns with business priorities and drives measurable impact across various domains.
EnergyRenewable Energy
Responsibilities
Define and execute the enterprise data and analytics strategy, ensuring alignment with business priorities and long-term technology roadmaps
Establish a unified operating model including product management, agile delivery, architecture, and governance
Drive architectural modernization, federation of analytics, and AI-enablement across the company
Lead enterprise architecture across data engineering, BI, AI/ML, data governance, cloud, and integrations
Ensure scalable, domain-aligned architectures using Databricks Lakehouse, ADLS, Delta, Medallion patterns, Purview, and Azure cloud services
Govern standards for data modeling, data quality, metadata, lineage, MDM, and integration patterns
Alignment with enterprise applications architecture and tooling used across business domains
Oversee the Product Manager, Product Solutions Architects, and Technical Delivery Manager to deliver high-quality, high-velocity outcomes
Maintain and prioritize product portfolio across enterprise data engineering, analytics, AI, and governance initiatives
Drive repeatable delivery, best-practice DevOps, and consistent platform enablement
Own enterprise data platform strategy: Databricks, ADLS, Purview, Azure DevOps, enterprise semantic layer, and BI, AI, and Analytics tools
Set standards for scalability, performance, cost optimization, and operational excellence
Lead adoption of emerging technologies, including generative AI, self-service data, and embedded analytics
Oversee day-to-day operational support for the enterprise data and analytics ecosystem for business - critical workflows and 24-7 support
Ensure SLAs, incident response, change management, and environment reliability across data pipelines, models, BI content, and platform services
Partner with Managed Service Providers and internal teams to ensure high system uptime and timely issue resolution
Establish monitoring, alerting, and operational dashboards to ensure proactive maintenance and reduce downtime
Drive continual improvement in system performance, user satisfaction, and operational efficiency
Oversee enterprise data governance, data quality, security, privacy, retention, and compliance frameworks
Ensure governance is scalable and federated, enabling the business without slowing delivery
Reduce technical debt and enforce best practices across the enterprise
Lead a team of employees and contractors across Platform, Intelligence, Governance, Product, and Delivery. Ensures the team growth both technically and on execution and leadership skills
Partner closely with business leaders and federated data/analytics teams across the enterprise, ensuring prioritization, communication, and goal planning is aligned to accelerate and deliver business outcomes
Build a culture of transparency, accountability, collaboration, and continuous improvement
Manage third party relationships, negotiate contracts, and identify opportunities to grow and support the team with necessary resources
Budget, Purchase Order, and Invoice management to meet team goals within scope of allocated funds
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or related field required
12-15+ years of progressive experience in Data Architecture, Enterprise Data Engineering, BI/Analytics, or related fields
8+ years leading data/analytics teams, including architects, engineers, BI developers, product managers, or delivery teams
Proven experience operating a modern data ecosystem using cloud Databricks Lakehouse technologies
Experience implementing governance frameworks, semantic layers, metadata management, and federated analytics models
Demonstrated success delivering large, complex, business-critical data solutions end-to-end
Experience leading agile product teams and managing an enterprise project/product portfolio
Strong understanding of AI capabilities and technologies
Experience managing budgets, vendor relationships, RFPs, and large delivery organizations
Executive level leadership presence with the ability to influence VP and SVP-level stakeholders
Ability to translate business needs into scalable product roadmaps, architectures, and delivery frameworks
Expertise leading teams in a hybrid model of FTEs and outsourced/contract engineering partners
Deep understanding of Azure cloud, data engineering best practices, warehousing/lakehouse architecture, MDM, and metadata governance
Ability to drive organizational change, modernize legacy systems, and introduce scalable frameworks
Strong communication and storytelling ability, capable of simplifying complex technical concepts for non-technical audiences
Demonstrated success building relationships with cross-functional business partners
Strong problem solver with an ability to anticipate risks, remove roadblocks, and ensure business continuity
Platforms & Cloud: Databricks Lakehouse, Azure Data Lake Storage Gen2, Azure Synapse, Azure ML, Azure Functions, Azure DevOps
Data Engineering & Architecture: Delta Lake, Medallion architecture, ETL/ELT, CI/CD, pipeline orchestration, streaming, DevOps
Governance & Security: Microsoft Purview (data catalog, lineage, classifications, DQ rules), RBAC/ABAC, metadata management, domain-based governance models
BI, AI & Analytics Tools: Power BI or similar BI tools, semantic modeling, AI/ML pipelines, enterprise analytics architectures
Programming & Modeling: SQL, Python preferred; familiarity with dbt is a plus
Operating Model Tools: Product road mapping, agile delivery frameworks, Jira/Azure DevOps Boards, portfolio management
Preferred
Master's degree in Information Systems, Data Science/Analytics, or MBA preferred
Familiarity with dbt is a plus
Benefits
Medical
Dental
Vision
Short and long-term disability
Life insurance
Voluntary benefits
Family care benefits
Employee assistance program
Paid time off and bonding leave
Paid holidays
401(k)/RRSP retirement savings plan with employer contribution
Employee referral bonuses
Company
Pattern Energy
Pattern Energy is one of the world’s largest privately-owned developers and operators of wind, solar, transmission, and energy storage projects.
501-1000 employees
H1B Sponsorship
Pattern Energy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (6)
2023 (1)
2022 (2)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$11.21BKey Investors
APG Asset Management
2024-12-16Post Ipo Secondary
2023-12-27Post Ipo Debt· $11B
2019-11-05Acquired
Leadership Team
Matthew Rhodes
Chief Financial Officer
Recent News
2026-01-03
2025-01-22
2025-01-10
Company data provided by crunchbase