Data Architect

Job Description: Databricks Architect - Drilling & Energy Domain Location - Tulsa, Onsite Experience- 12+ Years of IT Experience with 5+ Years in Databricks Architecture Databricks Architect who brings both technical expertise and domain knowledge of the drilling business.

About the Role

The ideal candidate will serve as a trusted advisor to business and technology stakeholders, driving data strategy, architecture, and solution delivery while enabling business transformation through data-driven insights. This role requires a combination of technical leadership, industry domain expertise, stakeholder management, and consulting skills to design and implement scalable data solutions aligned with business objectives.

Responsibilities

• The ideal candidate should:
• Have strong hands-on experience in Databricks architecture and implementation.
• Possess a solid understanding of drilling operations and associated business processes.
• Demonstrate leadership and stakeholder management skills.
• Be capable of working directly with business stakeholders to understand requirements and translate them into effective solutions.
• Bring industry best practices, architectural governance, and strategic guidance to the engagement.
• Role Overview We are seeking a highly experienced Databricks Architect with strong expertise in modern data platforms and a deep understanding of the Oil & Gas Drilling business.
• Success Criteria The successful candidate will:
• Bring industry best practices and architectural leadership to the engagement.
• Act as a strategic partner to business stakeholders.
• Drive scalable, secure, and future-ready data solutions.
• Accelerate business value realization through effective use of the Databricks platform.
• Improve collaboration between business and technology teams while ensuring successful solution adoption.
• Key Responsibilities Architecture & Technology Leadership
• Design and implement enterprise-scale data platforms using Databricks, Azure/AWS cloud technologies, and modern data architectures.
• Define end-to-end data architecture, data models, integration patterns, security, governance, and performance optimization strategies.
• Establish architectural standards, best practices, and implementation frameworks across projects.
• Lead modernization initiatives involving data lakes, lakehouse architecture, real-time analytics, AI/ML enablement, and cloud migration programs.
• Business & Domain Engagement
• Work directly with business stakeholders, drilling engineers, operations teams, and leadership to understand business challenges and translate them into technology solutions.
• Provide thought leadership on leveraging data and analytics to improve drilling performance, operational efficiency, asset utilization, and decision-making.
• Drive business workshops, solution reviews, and architecture discussions with customer leadership.
• Delivery & Governance
• Provide technical oversight throughout the solution lifecycle from discovery through deployment.
• Ensure compliance with enterprise architecture, security, data governance, and quality standards.
• Mentor engineering teams and provide technical guidance on Databricks implementations.
• Review solution designs and ensure adherence to best practices.
• Leadership & Stakeholder Management
• Act as a trusted advisor for business and IT stakeholders.
• Collaborate with project managers, product owners, data engineers, data scientists, and business users.
• Influence strategic decisions regarding data and analytics investments.
• Drive adoption of industry-leading practices and innovation.
• Lakehouse Architecture
• Advanced Analytics
• AI/ML
• Reporting To:
• Account Delivery Leadership
• Target Industry Experience:
• Oil & Gas
• Drilling
• Upstream Operations.

Qualifications

• Required Qualifications

Required Skills

• Technical Skills
• Strong expertise in Databricks Lakehouse Platform.
• Hands-on experience with:
• Unity Catalog
• Databricks Workflows
• MLflow
• Structured Streaming
• Strong experience with Azure Data Services and/or AWS Data Analytics services.
• Expertise in Data Warehousing, Data Lakes, ETL/ELT, Data Modeling, and Analytics platforms.
• Strong knowledge of SQL, Python, Spark, and cloud-native solutions.
• Domain Expertise
• Strong understanding of Oil & Gas Drilling Operations.
• Experience working with drilling, well planning, rig performance, production, operational analytics, and drilling data management.
• Ability to engage effectively with drilling business stakeholders and translate business needs into technical solutions.
• Leadership Skills
• Excellent stakeholder management and communication skills.
• Experience leading architecture discussions with senior business and technology leaders.
• Proven ability to influence decisions and drive consensus across teams.
• Strong mentoring and coaching capabilities.

Preferred Skills

• Preferred Qualifications
• Experience with Energy, Oil & Gas, or Drilling industry clients.
• Databricks Certified Professional Certification.