Principal Databricks Architect
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Job Description
Principal Databricks architect designing enterprise Lakehouse and AI/ML solutions for CDW, a technology solutions provider. Advising customers and leading cloud data modernization engagements.
Responsibilities:
- Design, develop, and implement scalable Databricks architecture solutions using Delta Lake, Unity Catalog, MLflow, and related platform capabilities for enterprise customers.
- Collaborate with cloud solution architects, data engineers, data scientists, business analysts, and customer stakeholders to implement complex end-to-end enterprise data solutions.
- Partner with pre-sales teams on Databricks statements of work, including solution scope, estimates, assumptions, timelines, and implementation approach.
- Advise executive and technical stakeholders on the business value of Databricks and AI/ML and translate capabilities into customer outcomes.
- Provide billable consulting leadership across Databricks architecture, cloud-native patterns, platform modernization, data governance, data quality, and cloud engineering.
- Champion AI/ML through automation, optimization, and machine learning frameworks to accelerate implementation, reduce cost, and increase customer impact.
- Assess customer data ecosystems, cloud data readiness, IT priorities, and business success measures to design implementation architectures and structured learning plans.
- Serve as an internal and external thought leader by shaping Databricks and AI/ML strategy, mentoring peers, contributing to reusable delivery assets, and building CDW’s trusted-advisor reputation.
Requirements:
- Bachelor’s degree and 10+ years of consulting experience, including hands-on experience designing and implementing Databricks platform solutions OR 14+ years of related IT, data platform, or cloud architecture experience.
- Deep expertise with Databricks, Delta Lake, Unity Catalog, MLflow, data pipelines, ETL/ELT frameworks, batch and streaming solutions, PySpark, Scala, SQL, and Python scripting.
- Experience with data governance, data cataloging, master data management, data quality, RBAC, security, compliance, and data lineage.
- Strong cloud data architecture experience across Azure, AWS, or Google Cloud.
- Experience with data platform modernization, cloud-native design patterns, advanced analytics, and AI/ML solution enablement.
- Ability to optimize Databricks performance and cost through cluster configuration, job tuning, workload design, automation, and platform best practices.
- Proven ability to lead architecture decisions, own end-to-end technical accountability, mentor resources, and guide platform-agnostic projects in agile environments.
- Excellent communication, stakeholder management, problem-solving, adaptability, and executive presentation skills.
- Preferred certifications include Databricks Certified Data Engineer Professional and Databricks Certified AI/ML Engineer Associate or Professional.
- Willingness to travel to other CDW locations or client sites.
- Valid U.S. driver’s license required.
Benefits:
- Annual bonus target of 10% subject to terms and conditions of plan
- Benefits package (benefits overview linked)
- Remote work arrangement
- Professional growth and learning opportunities
- Collaborative and supportive work environment
- Equal opportunity employment
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