Databricks Architect
Sciata
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.
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