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Ampstek
Must Have Skills: Databricks Expertise (Critical): Deep hands-on experience with Databricks architectureand administration. Cloud Platform Knowledge: Strong experience in at least one major cloud platform: Azure (p…
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About the role
Must Have Skills: Databricks Expertise (Critical): Deep hands-on experience with Databricks architectureand administration. Cloud Platform Knowledge: Strong experience in at least one major cloud platform: Azure (preferred if using Azure Databricks), AWS, Google Cloud Platform (GCP). Leadership & People Management: Team mentoring and coaching, Delivery management,
Performance management. Governance & Security: Expertise in Access control and RBAC, Compliance and auditawareness, Data security principles.Nice to Have Skills: Advanced Databricks Capabilities : Experience with Databricks Certified Professionalcertifications. Databricks Lakehouse architecture design, MLflow and MLOps knowledge. Knowledge of DevOps & Platform Engineering: Familiarity with CI/CD implementation,GitHub Actions, Azure DevOps, Jenkins, Site Reliability Engineering (SRE) practices. Advanced Data & Analytics Skills : Exposure to Data Engineering background, PySparkdevelopment, SQL optimization. Leadership Skills : Experience in Vendor & Partner Management, , Business &Communication Skills, Strategic Leadership.Detailed Job DescriptionAttached in email
Minimum Years of Experience:10Certifications Needed: NoTop 3 responsibilities you would expect the Subcon to shoulder and execute Define and Drive Data Product Strategy :Create the vision, goals, and roadmap for data products. Prioritize features based on customer andbusiness value. Align data initiatives with business objectives. Measure and Optimize Product Value : Monitor product performance, adoption, and dataquality. Continuously improve the product based on user feedback and analytical insights. DefineKPIs and success metrics. Translate Business Needs into Data Solutions : Work closely with business stakeholders,data engineers, analysts, and data scientists. Ensure data products solve real business problemsand deliver measurable outcomes.Interview Process (Is face to face required?)No
Any additional information you would like to share about the project specs/ nature ofwork:NAWe're looking for a Technical Platform Manager to support our Data Platform team,with a strong focus on Databricks platform optimisation and cost management.
The ideal candidate should have deep experience with Databricks and cloud dataplatforms, with a proven track record of driving platform efficiency, governance, andcost optimisation initiatives. This role will work closely with both internal stakeholdersand external partners to identify, prioritise, and deliver optimisation opportunitiesacross the platform.Key responsibilities would include: Leading the platform cost optimisation agenda across Databricks andassociated cloud services. Working collaboratively with engineering, architecture, operations, andbusiness teams to identify and implement optimisation opportunities. Establishing and tracking optimisation roadmaps, savings targets, andoutcomes. Providing leadership and direction to a team of engineers focused on platformperformance, efficiency, and cost management. Driving adoption of best practices across compute, storage, serverless,governance, and operational processes. Engaging with vendors and platform providers to leverage new capabilitiesand optimisation opportunities.
We're looking for someone who can operate at both a strategic and hands-on level,with strong stakeholder management skills and the ability to influence outcomesacross a complex environment.
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