
Data Business Strategist
2 weeks ago
Job Overview :
">">As a seasoned leader in Data business, you will play a pivotal role in building and growing the Databricks capability within our organization.
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">This leadership position entails driving technical strategy, innovation, and solution delivery on the Databricks Unified Data Analytics platform.">">
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">You will work closely with clients, delivery teams, technology partners, and internal stakeholders to define and deliver scalable, high-performance solutions using ">">Responsibilities :
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">- Serve as the Subject Matter Expert (SME) in Databricks for internal teams and external clients.">">
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">- Collaborate with sales and solutioning teams to drive pre-sales activities including client presentations, solution architecture, PoCs, and RFP responses.">">
">- Act as a trusted advisor to clients, guiding them on architecture, best practices, and value realization.">">
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">- Build and mentor a team of engineers and consultants within the practice.">">
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">- Represent the company in thought leadership initiatives webinars, blogs, conferences, etc.">">
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">- Work cross-functionally with delivery, engineering, and marketing teams to expand practice capabilities.">">
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">- Stay updated on product releases, industry trends, and customer use">">Qualifications :
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">- 1215 years of experience in Data Engineering, Analytics, or AI/ML, with 35 years of focused experience on Databricks.">">
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">- Proficiency in architectural best practices in cloud around user management, data privacy, data security, performance and other non-functional requirements.">">
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">- Proven experience delivering large-scale data and AI/ML workloads on Databricks.">">
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">- Deep knowledge of Spark, Delta Lake, Python/Scala, SQL, and data pipeline orchestration.">">
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">- Experience with MLOps, Feature Store, Unity Catalog, and model lifecycle management.">">
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">- Certification preferred e.g., Lakehouse Fundamentals, Data Engineer Associate/ Professional.">">
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">- Experience integrating Databricks with cloud platforms Azure, AWS, or GCP and BI tools.">">
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">- Strong background in solution architecture, presales, and client advisory.">">
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">- Excellent communication, stakeholder engagement, and leadership skills.">">
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">- Exposure to data governance, security, compliance, and cost optimization in cloud analytics.-
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