← All jobs · Databricks

Senior Solutions Architect (Strategic Account - Energy)

Databricks ·
43
AI-Agency
B35 U55
📍 London, GB Senior
PythonPySparkSQLSparkAWSGCPAzure
TL;DR

Senior Solutions Architect at Databricks leading technical engagement for a large Oil & Gas customer. Responsible for architecting Lakehouse solutions, coaching junior architects, and managing complex data analytics implementations across global teams.

Apply at Databricks →
you'll be redirected to the company's career page

Job description

REQ ID: FEQ227R144

Recruiter: Dina Hussain

Location:  London, United Kingdom 

Industry: Strategic Account - Energy, Utilities, Oil & Gas

 

At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise, leadership and vision-setting skills to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

 

Reporting to the Manager, Field Engineering.

 

The impact you will have: 

 

What we look for:

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Apply at Databricks →

More open roles at Databricks

Databricks ·
Software Engineer - GenAI inference
📍 San Francisco, US 💰 $142K–$204K · Mid
Software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on LLM serving systems optimization, GPU kernels, distributed inference infrastructure, and performance bottleneck analysis.
CUDAcuBLAScuDNNNCCLPythonPyTorch
81
AI-core
Databricks ·
Staff Software Engineer - GenAI inference
📍 San Francisco, US 💰 $190K–$232K · Staff
Staff software engineer at Databricks building the GenAI inference engine for the Foundation Model API. Focus on architecture, optimization, and scaling of LLM serving across GPUs and accelerators.
CUDAcuBLAScuDNNNCCLPyTorchMLflow
81
AI-core
Databricks ·
Senior GenAI Research Engineer - Optimization and Kernels
📍 San Francisco, US 💰 $166K–$225K · Senior
Senior GenAI Research Engineer at Databricks optimizing GPU kernels and distributed training for large language models. Focus on CUDA kernel development, parallelism strategies, and performance optimization for LLM training workloads.
CUDAPyTorchNVIDIA GPUPythonDeepSpeedMegatron-LM
81
AI-core
Databricks ·
PhD GenAI Research Scientist Intern
📍 San Francisco, US 💰 $112K–$124K · Intern
PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference for enterprise applications.
PyTorch
81
AI-core
Databricks ·
Sr. Developer Advocate, Databricks AI Agentic Systems
📍 San Francisco, US 🛠 AI tools welcome at work · Senior
Senior Developer Advocate at Databricks focused on AI Agentic Systems and MLOps. Drive adoption of Agent Bricks through reference implementations, technical content, community building, and product advocacy for enterprise AI governance.
PythonPyTorchscikit-learnLangChainLlamaIndexDSPy
80
AI-core