Databricks Data Manager

VMLLast Updated: 6/16/2025Requisition ID: 10707Who We Are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.Leading GCC Bank

VML

Dubai/Abu Dhabi Are you ready to architect the future of customer data for one of the GCC's most prestigious financial institutions?VML, a global leader in marketing technology and customer experience, is seeking an exceptional Databricks Data Lead to spearhead the development of a cutting-edge Customer Data Platform for one of the region's largest banks.The Opportunity Join our dynamic team to design and build a revolutionary Customer Data Platform that will transform how our client understands and engages with their customers. You'll be at the forefront of modern data architecture, working with the latest Databricks technologies to create scalable, secure, and business-aligned data solutions.What You'll Do Lead CDP Architecture: Design and implement a comprehensive Customer Data Platform tailored to Marketing team requirements Data Modeling Excellence: Develop sophisticated data models in Databricks Gold Layer, ensuring optimal performance and accessibility Governance Champion: Establish and maintain data governance standards using Unity Catalogue for consistent business definitions Stakeholder Collaboration: Partner with Customer Analytics, Marketing, and Product teams to define precise data requirements Innovation Driver: Build semantic layers enabling MS Co-Pilot and journey generation features on Microsoft Dynamics 365 Customer Insights Your Technical Arsenal Core Technologies: Python & SQL mastery Databricks & Unity Catalogue expertise Data Warehousing (Snowflake, Databricks)Dataflow & Py Spark Specialized Skills: Performance tuning & debugging Advanced data modeling & architecture What We're Looking For Education & Experience: Bachelor's in Computer Science or related field (Master's preferred)5+ years in data modeling and architecture6+ years in data integration, quality, and optimization Strong experience establishing semantic layers The Ideal Candidate: Thrives in fast-paced, collaborative environments Passionate about translating business needs into technical solutions Detail-oriented with strong problem-solving abilities Excellent communication skills for cross-functional collaboration Why Choose This Role? Impact: Shape the data strategy for millions of banking customers across the GCC Innovation: Work with cutting-edge technologies and methodologies Growth: Advance your career with VML's global network and expertise Partnership: Collaborate with industry-leading professionals and prestigious clients Ready to lead the data revolution in GCC banking?Join VML and help build the Customer Data Platform that will define the future of personalized banking experiences.VML is committed to diversity, equity, and inclusion, welcoming applications from all qualified candidates.Apply now to be part of something extraordinary.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.Apply for this job*indicates a required field First Name *Last Name *Preferred First Name *Email *Phone Location (City) *Resume/CVEnter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What is your desired salary? *If applicable, what is your notice period? *Question 1: Databricks Unity Catalogue Implementation You're implementing data governance for a Customer Data Platform using Databricks Unity Catalogue. What are the most critical considerations for Gold layer security and lineage? *A) Setting up table-level permissions and enabling automatic data classification with Delta Lake time travel features B) Implementing column-level security with data lineage tracking and establishing proper catalog/schema hierarchies C) Configuring row-level security filters and setting up automated data quality monitoring with Great Expectations D) Creating shared clusters with Unity Catalogue metastore integration and implementing data masking policies Question 2: Customer Data Platform Architecture Design When designing a CDP for marketing teams, which architectural components are essential for effective customer identity resolution and real-time segmentation? *A) Implementing a Master Data Management (MDM) hub with probabilistic matching algorithms and real-time streaming via Kafka B) Using batch ETL processes with nightly customer profile updates and storing segments in relational databases C) Creating a unified customer profile store with event streaming architecture and maintaining both real-time and batch processing layers (Lambda architecture)D) Setting up data lakes with periodic customer data synchronization and using SQL-based segmentation queries Question 3: Semantic Layer for AI Integration To enable Microsoft Co-Pilot integration and customer journey orchestration, which semantic layer approaches are most effective? *A) Building REST APIs over database views with Open API specifications for AI model consumption B) Implementing a metrics layer using tools like dbt with standardized business definitions and creating knowledge graphs for relationship mapping C) Creating data marts with pre-aggregated tables and implementing Graph QL endpoints for flexible querying D) Establishing a universal semantic model with consistent business logic and implementing vector embeddings for AI-powered content generation Question 4: Data Pipeline Troubleshooting Customer segments show inconsistent counts between your Databricks CDP and the marketing campaign platform. What are the most likely root causes to investigate first? *A) Data deduplication logic differences and timestamp/timezone handling discrepancies between systems B) Network latency issues between Databricks and the campaign platform affecting data transfer C) Different customer matching criteria and data freshness/synchronization timing issues D) Insufficient compute resources in Databricks clusters causing processing delays Question 5: Stakeholder Management & Technical Conflicts Marketing teams want real-time customer attributes that would require expensive streaming infrastructure, while IT prefers batch processing for cost control. How should you approach this conflict? *A) Implement the marketing team's requirements immediately since they are the primary business users B) Conduct a cost-benefit analysis and propose a hybrid approach with critical attributes in real-time and others in near-real-time batches C) Refuse the real-time requirements and explain the technical limitations to the marketing team D) Design a tiered data architecture where high-priority use cases get real-time processing and standard use cases use batch processing When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.#J-18808-Ljbffr