Data Architect (Databricks)

<p>Description:</p> <p><br /> Top 3 skills which is mandatory<br /> - Strong expertise in data architecture and data platform design<br /> - Databricks Lakehouse architecture, Delta Lake<br /> - Experience on Azure (preferred) or equivalent cloud platforms<br /> - Strong understanding of:<br /> Data ingestion frameworks<br /> ETL / ELT patterns<br /> Data modeling (analytical & dimensional)<br /> <br /> <br /> Job Duties: We are looking for a senior, client-facing Data Architect to support the delivery of complex data products for a large enterprise client. The role requires a "heavy-hitter" architect who can operate confidently in an Agile delivery environment, collaborate closely with client stakeholders, and translate business requirements into scalable, robust data architectures.<br /> The engagement is expected to start around late January / early February and will run for approximately 6 months, with iterative delivery cycles and phased releases.<br /> ________________________________________Experience Requirements<br /> Total Experience: 10 15+ years in data & analytics roles<br /> Relevant Experience: 7 10+ years in data architecture / solution design<br /> Databricks Experience: 3 5+ years hands-on (architecture + delivery)<br /> Client-Facing / Consulting Experience: 3+ years working directly with demanding enterprise clients<br /> Seniority or grade is flexible, but the candidate must demonstrate architect-level ownership, confidence, and delivery maturity.<br /> <br /> Key Responsibilities<br /> Act as the lead Data Architect for Databricks-based data platforms and products<br /> Design end-to-end data architectures covering ingestion, processing, storage, and consumption<br /> Define Lakehouse architecture using Databricks (Delta Lake, Unity Catalog, etc.)<br /> Work closely with:<br /> o Client stakeholders<br /> o Product owners<br /> o Delivery leads<br /> o Data engineers and analytics teams<br /> Translate business and analytical requirements into scalable technical designs<br /> Ensure architecture aligns with performance, security, governance, and cost-optimization best practices<br /> Support Agile delivery, including:<br /> o Sprint planning<br /> o Design workshops<br /> o Incremental releases<br /> Provide architectural guidance during implementation and unblock delivery issues<br /> Review and approve technical designs, data models, and implementation patterns<br /> <br /> Minimum Skills Required: Required Technical Skills<br /> <br /> Core Data & Architecture<br /> Strong expertise in data architecture and data platform design<br /> Deep understanding of:<br /> o Data warehousing<br /> o Lakehouse patterns<br /> o Batch and streaming data processing<br /> Databricks (Mandatory)<br /> Hands-on experience with:<br /> o Databricks Lakehouse architecture<br /> o Delta Lake<br /> o Databricks Workflows<br /> o Unity Catalog (governance & security)<br /> Experience designing production-grade Databricks solutions<br /> Cloud & Data Engineering<br /> Experience on Azure (preferred) or equivalent cloud platforms<br /> Strong understanding of:<br /> o Data ingestion frameworks<br /> o ETL / ELT patterns<br /> o Data modeling (analytical & dimensional)<br /> Ability to guide data engineers on best practices<br /> ________________________________________<br /> Delivery & Ways of Working<br /> Proven experience working in Agile / Scrum delivery models<br /> Comfortable delivering in fast-paced, iterative programs<br /> Experience working with offshore teams while engaging closely with onshore clients<br /> ________________________________________<br /> Communication & Stakeholder Skills (Critical)<br /> Strong verbal and written communication skills<br /> Ability to:<br /> o Lead architecture discussions with senior client stakeholders<br /> o Challenge requirements constructively<br /> o Explain complex technical concepts in simple business language<br /> Confidence to work with a demanding client environment<br /> ________________________________________<br /> Nice to Have<br /> Consulting or systems-integrator background<br /> Experience delivering energy, utilities, or large enterprise data platforms<br /> Exposure to data governance, data quality frameworks, and regulatory environments</p> <p> </p><p><p><b>VDart: Digital Consulting & Staffing Solutions</b></p> <p>VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. <a href="https://www.vdart.com" target="_blank">Digital consulting services, Digital consulting agency</a></p> <p><b>Core Services:</b></p> <ul> <li>Digital consulting and transformation solutions</li> <li>Comprehensive staffing services (contract, temporary, permanent placements)</li> <li>Talent management and workforce solutions</li> <li>Technology implementation services</li> </ul> <p><b>Key Industries:</b> VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. <a href="https://www.cbinsights.com/company/vdart" target="_blank">VDart - Products, Competitors, Financials, Employees, Headquarters Locations</a></p> <p><b>Notable Partnership:</b> VDart Digital has been a consistently strong supplier for Toyota since 2017 <a href="https://www.vdartdigital.com/" target="_blank">Digital Transformation Consulting & Strategy Services | VDart Digital</a>, demonstrating their capability in large-scale digital transformation projects.</p> <p>With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.</p> </p>