← All jobs · Databricks

Solutions Architect

Databricks ·
50
AI-Agency
B35 U72
📍 Mumbai, IN Senior 8+ yrs
Apache SparkPythonScalaJavaRAWSAzureGCPDelta LakeMLflow
TL;DR

Solutions Architect at Databricks helping enterprise customers design and implement data and AI solutions on the Lakehouse Platform. Advises on big data architectures, proof-of-concepts, and cloud integrations across data engineering and data science workflows.

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

Job description

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

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 🔷 AI-first · 🔄 synced 2h ago
Principal Research Scientist - AI Scaling & Optimization
📍 Mountain View, US · Principal
Principal Research Scientist at Databricks leading a team on LLM scaling, efficiency, and post-training optimization. Focus on advancing foundation model training and inference through novel algorithms, systems optimization, and production deployment.
PythonPyTorchdistributed trainingLLMs
88
AI-core
Databricks 🔷 AI-first · 🔄 synced 2h ago
Principal Research Scientist – Scaling
📍 San Francisco, US · Principal
Principal Research Scientist leading a team at Databricks focused on large language model scaling, efficiency, and post-training. Role combines research leadership with hands-on work in distributed training optimization, inference efficiency, and production ML systems.
PythonPyTorchdistributed trainingLLM inference
88
AI-core
Databricks 🔷 AI-first · 🔄 synced 2h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 2h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 US 🌐 Remote-only 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 2h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Sydney, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core