Databricks Architect

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. 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. 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.

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.

Technology Focus: Azure Databricks, Azure Data Platform, Lakehouse Architecture, Advanced Analytics, AI/ML.

Reporting To: Account Delivery Leadership

Target Industry Experience: Oil & Gas, Drilling, Energy Services, Upstream Operations.

Required Qualifications

• Technical Skills
• Strong expertise in Databricks Lakehouse Platform.
• Hands-on experience with: Apache Spark, Delta Lake, 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.
• Experience implementing scalable enterprise data architectures.
• 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 Qualifications

• Experience with Energy, Oil & Gas, or Drilling industry clients.
• Databricks Certified Professional Certification.
• Azure Solutions Architect / Data Engineer certification.
• Experience with AI/ML, Generative AI, and advanced analytics initiatives.
• Experience working in global delivery models.