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Solutions Architect - Media
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ICT
💰 Salary Not shared
📊 Market ₹14,000–₹22,000/mo (₹168,000–₹264,000/yr)
About the Company
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create 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.
Responsibilities
- ● Independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations
- ● Code, architect, and present-combining technical depth with customer-facing skills to drive Databricks adoption
- ● Own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage
- ● Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- ● Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
- ● Own frontline technical relationships with customer engineers, data teams, and technical leads
- ● Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
- ● Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
- ● Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
Requirements
- ● 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
- ● Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code - live coding is a required interview stage
- ● Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
- ● Working knowledge of distributed data systems: Apache Spark , Delta Lake, or equivalent (Hadoop, Kafka, Flink)
- ● Experience leading technical customer conversations - discovery, whiteboarding, architecture reviews
- ● Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
- ● Strong presentation and demo skills - you will build and present a live solution during the interview
- ● Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
- ● Databricks certification or experience with the Databricks Platform
- ● Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
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