Job Description & How to Apply Below
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
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. Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work e
xp.
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