Databricks Solutions Architect

About the Role:

As a Solutions Architect (SA) within Celebal Technologies team, you will engage with clients to address their big data challenges using the Databricks platform. You will be responsible for designing and delivering data engineering, data science, and cloud technology projects that integrate client systems, ensuring customers maximize the value from their data. Your role will also include providing training and handling technical tasks related to project completion. This is a billable position, and you will need to deliver excellent customer service while working closely with the regional Manager/Lead to meet project specifications

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Key Responsibilitie

s:1. Lead various impactful technical projects for customers, including designing reference architectures, developing technical "how-to" guides, and productionalizing customer use case

s.2. Work with engagement managers to scope and define the professional services work based on customer input and business need

s.3. Guide strategic customers through transformational big data and AI projects, as well as migrations from 3rd party platforms, delivering full end-to-end design, build, and deploymen

t.4. Provide expert consulting on architecture and design; help bootstrap or implement projects, driving the customer's understanding, evaluation, and adoption of Databrick

s.5. Deliver escalated support for operational issues faced by customer

s.6. Collaborate with Databricks' Technical, Project Manager, Architect, and Customer teams to ensure technical components of projects meet client requirement

s.7. Work closely with Engineering and Databricks Customer Support to provide feedback on product and resolve any product or support issues that arise during engagement

s.
Qualificatio

ns:1. 6+ years of experience in data engineering, data platforms, and analyti

cs.2. Proficiency in programming languages such as Python or Sca

la.3. Strong working knowledge of cloud ecosystems (AWS, Azure, GCP) with deep experti

se.4. Extensive experience with distributed computing using Apache Spark and a solid understanding of Spark runtime interna

ls.5. Familiarity with CI/CD practices for production deploymen

ts.6. Working knowledge of MLOps methodologi

es.7. Proven experience in designing and deploying performant, end-to-end data architectur

es.8. Experience managing technical project delivery, including scope and timelin

es.9. Excellent documentation, whiteboarding, and communication skil

ls.10. Proven ability to handle client engagements and resolve conflic

ts.11. Experience developing technical skills to support the deployment and integration of Databricks-based solutio

ns.12. Bachelors degree in Computer Science, Information Systems, Engineering, or equivalent work e