Databricks Architect

Databricks Architect

We are seeking an experienced Databricks Architect for the Oil & Gas industry to lead the design, implementation, and optimization of scalable data solutions for a high-impact enterprise environment. This person will serve as a key technical leader, helping shape the organization's Databricks architecture while also partnering closely with stakeholders, mentoring team members, and enabling broader team success through clear communication and training.

Location: Houston, TX (Downtown) – Onsite 4 days per week

Duration: 10-Month Contract with the likelihood of extension

Key Responsibilities

• Architect, design, and implement scalable data platforms and solutions using Databricks
• Lead the development of modern data pipelines, workflows, and cloud-based data architectures
• Partner with business and technical stakeholders to gather requirements and translate them into effective technical solutions
• Establish best practices for Databricks platform usage, performance optimization, governance, and security
• Provide architectural guidance across data engineering, analytics, and integration initiatives
• Support the modernization of data ecosystems, including batch and real-time processing frameworks
• Review existing environments and recommend improvements for scalability, reliability, and cost efficiency
• Act as a technical leader and trusted advisor across cross-functional teams
• Communicate complex technical concepts clearly to both technical and non-technical audiences
• Train, mentor, and upskill internal team members on Databricks tools, architecture, and best practices
• Create documentation, standards, and knowledge-sharing materials to support long-term adoption and success

Required Qualifications

• Strong hands-on experience as a Databricks Architect or in a similar senior-level data architecture role
• Deep expertise with Databricks, including architecture, implementation, and optimization
• Experience designing and delivering enterprise-scale data solutions in cloud environments
• Strong knowledge of data engineering concepts, ETL/ELT frameworks, data modeling, and distributed data processing
• Ability to communicate effectively with leadership, business stakeholders, and technical teams
• Proven experience training, mentoring, or enabling others in a technical environment
• Strong problem-solving skills and ability to work independently in a fast-paced setting
• Experience creating architecture documentation, technical roadmaps, and best practices

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of data governance, security, and performance tuning best practices
• Background supporting analytics, BI, or advanced data use cases
• Experience working in large enterprise or complex transformation environments

This is an exciting opportunity to make a strong impact in a visible architecture role, helping build and scale a modern Databricks environment while also influencing team capability through leadership, communication, and training.