Senior Architect – Data Engineering (Databricks)

Accountabilities • Data Architecture & Engineering: Design, develop, and oversee large-scale enterprise data architecture solutions using Databricks and its ecosystem, including Delta Lake, Delta Live Tables, Unity Catalog, and Apache Iceberg.

• Databricks Center of Excellence: Contribute to the development and growth of the Databricks practice by establishing technical standards, sharing expertise, promoting best practices, and leading strategic platform initiatives.

• Technical Leadership: Provide architectural direction and technical guidance to data architects and engineering teams, ensuring solutions align with client objectives, business requirements, scalability, and performance expectations.

• Client Advisory & Digital Transformation: Act as a trusted technical advisor to clients, guiding them through data strategy development, digital transformation, and the adoption of modern cloud-based data platforms.

• Pre-Sales & Business Development: Lead complex Databricks pre-sales engagements as a Solution Lead or Lead Architect. Develop tailored technical proposals, solution architectures, statements of work (SOWs), and strategic recommendations based on client requirements.

• Project Delivery & Modernization: Lead large-scale Databricks implementation, migration, and modernization engagements, overseeing delivery teams of data architects and engineers to ensure successful project outcomes.

• Migration Strategy: Drive the transformation of legacy data warehouses into modern Databricks Lakehouse architectures, ensuring efficient migration approaches, platform optimization, and business continuity.

• Project & Risk Management: Oversee project planning, budgeting, deliverables, timelines, dependencies, and risks while maintaining alignment with client expectations and executive stakeholders.

• Innovation & Technology Strategy: Identify emerging technologies, tools, and architectural approaches in data engineering, cloud platforms, and AI/ML to develop future-ready solutions aligned with client needs.

• Practice Growth & Market Development: Collaborate with data leadership teams across sales, recruitment, account management, consulting, and operations to expand market presence and strengthen client relationships.

• Mentorship & Knowledge Sharing: Mentor technical professionals, develop engineering capabilities, and promote a culture of innovation, accountability, collaboration, and continuous learning.

• Business Value & Client Outcomes: Ensure that technical decisions and architectural recommendations deliver measurable business value, improve operational efficiency, and strengthen clients' competitive positioning.

Requirements

• At least 10 years of professional experience in data engineering, data architecture, or related technology disciplines.

• Minimum of 6 years of extensive hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog.

• Strong expertise in designing and implementing enterprise-scale data architectures and modern data engineering solutions.

• Deep understanding of Databricks platform capabilities, including data engineering, governance, security, and Lakehouse architecture.

• Mastery of Big Data platforms, cloud data warehouses, and object-oriented programming principles.

• Strong knowledge of NoSQL databases, container management technologies, and AI/ML tools.

• Demonstrated experience designing and delivering data and AI platform solutions that address complex business requirements and generate measurable business value.

• Proven experience leading large-scale data migration and modernization initiatives, particularly transforming legacy data warehouses into Databricks Lakehouse platforms.

• Experience managing multiple complex Databricks implementation and delivery projects, including technical leadership and team coordination.

• Ability to translate business needs into customized data platform architectures and scalable technical solutions.

• Experience leading pre-sales and business development activities, including solution design, technical proposals, client presentations, and SOW development.

• Strong consulting and stakeholder management skills, with the ability to engage effectively with senior executives, business leaders, and technical teams.

• Excellent project management capabilities, including risk management, budgeting, resource planning, delivery oversight, and executive-level communication.

• Strong leadership and mentoring skills, with the ability to guide multidisciplinary engineering teams and foster technical excellence.

• A business-oriented mindset, combining strategic thinking with hands-on technical expertise and a focus on client outcomes.

• Excellent communication, collaboration, and problem-solving skills, with the ability to thrive in a dynamic consulting environment.

• Preferred: Databricks Certified Data Engineer Professional certification.

• Preferred: Demonstrated experience leading multiple complex Databricks architecture, implementation, and modernization engagements.

Benefits

• Remote working opportunities within India.

• Opportunity to join a growing Databricks Center of Excellence and contribute to strategic data engineering initiatives.

• Exposure to large-scale enterprise projects involving modern data platforms, cloud technologies, and AI/ML solutions.

• Opportunity to work with major international clients across diverse industries.

• Involvement in high-impact digital transformation, data modernization, and cloud migration projects.

• Opportunities to influence technical strategy, architecture decisions, and business development initiatives.

• Collaborative environment bringing together experienced consultants, architects, and engineering professionals.

• Opportunities for professional growth, technical leadership, and continuous learning.

• Access to a culture that values innovation, ownership, authenticity, curiosity, and employee well-being.

• Opportunity to develop expertise and visibility within a specialized, expanding technology practice.

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