Senior Architect – Data Engineering (Databricks) - Contractor

Accountabilities:

• Collaborate with data practice leaders to support business development, recruitment, account management, consulting delivery, and operational excellence.
• Contribute to the development of a growing Databricks Center of Excellence, providing technical leadership across complex data engineering projects.
• Act as a Databricks Subject Matter Expert (SME), advising clients on architecture best practices, scalable data engineering solutions, and modern analytics platforms.
• Design, develop, and oversee large-scale data architecture initiatives using Databricks technologies, including Delta Lake, Delta Live Tables, Unity Catalog, and Apache Iceberg.
• Provide strategic and technical direction to data engineering teams, ensuring architecture decisions align with client objectives and maximize the capabilities of the Databricks platform.
• Serve as a trusted advisor to clients, guiding their digital transformation journeys and helping define long-term data strategies and target architectures.
• Lead pre-sales and business development engagements as a Sales Solution Lead or Lead Architect, designing tailored technical solutions, proposals, and Statements of Work (SOWs).
• Lead large-scale Databricks migration and modernization projects as a Delivery Solution Lead, managing multidisciplinary teams of data architects and engineers.
• Oversee project execution, including planning, budgeting, risk management, deliverables, and alignment with executive stakeholders.
• Identify opportunities to expand existing client relationships through innovative data solutions and strategic account development.
• Evaluate emerging technologies, tools, and industry trends, recommending solutions that support client objectives and future data strategies.
• Mentor technical professionals, promote knowledge sharing, and encourage a culture of innovation, accountability, collaboration, and continuous improvement.
• Maintain a business-focused approach, ensuring technology initiatives deliver measurable outcomes and strengthen clients' competitive advantage.

Requirements:

• 10+ years of professional experience in data engineering or data architecture, including at least 6 years of extensive hands-on experience with Databricks.
• Strong expertise in Databricks platform capabilities and technologies, particularly Delta Lake, Delta Live Tables, Unity Catalog, and Apache Iceberg.
• Extensive knowledge of Big Data platforms, cloud data warehouses, modern data architectures, and object-oriented programming.
• Strong understanding of NoSQL databases, container management and orchestration systems, and AI/ML tools.
• Proven ability to design customized data platforms and governance architectures that address complex business requirements.
• Demonstrated experience delivering enterprise-scale data and AI platform solutions that generate measurable business value.
• Significant experience leading large-scale data migration and modernization initiatives, particularly transitioning legacy data warehouses to Databricks Lakehouse architectures.
• Strong understanding of Databricks governance, security, scalability, and platform capabilities, with the ability to translate business needs into effective technical solutions.
• Proven experience leading complex Databricks implementation and delivery engagements, including technical architecture, team leadership, and project execution.
• Ability to lead client-facing pre-sales activities, develop technical proposals, define solution approaches, and contribute to business growth.
• Excellent communication, stakeholder management, and strategic advisory skills, with the ability to engage effectively with both technical teams and executive leadership.
• Strong leadership and mentoring capabilities, with a collaborative mindset and the ability to inspire multidisciplinary teams.
• A Databricks Certified Data Engineer Professional certification is highly desirable, particularly when supported by experience leading multiple complex Databricks implementations.

Benefits:

• Contract-based engagement with an initial duration of 6+ months.
• Expected start date: December 2026 or January 2027.
• Remote working opportunity from anywhere in India.
• Opportunity to contribute to a growing Databricks Center of Excellence.
• Exposure to large-scale enterprise data transformation and cloud modernization initiatives.
• Opportunity to work with advanced technologies across data engineering, cloud platforms, Lakehouse architecture, and AI/ML.
• Strategic leadership responsibilities across architecture, consulting, pre-sales, and project delivery.
• Direct involvement in high-impact projects for major enterprise and public-sector clients.
• Opportunities to mentor technical teams, influence technology strategies, and contribute to business development initiatives.
• Collaborative and people-focused working environment that values innovation, ownership, professional growth, and employee wellbeing.

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