This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Architect – Data Engineering (Databricks) – Contractor based in India.
As a Senior Data Engineering Architect, you will play a strategic role in designing and delivering large-scale, modern data platforms using Databricks and cloud-native technologies. You will lead complex data engineering initiatives, helping enterprise clients transform legacy data environments into scalable, high-performance Lakehouse architectures. Working within a growing Databricks Center of Excellence, you will combine deep technical expertise with business and client-facing leadership. You will advise organizations on data strategy, architecture best practices, and innovative solutions that generate measurable business value. The role also involves leading pre-sales engagements, shaping technical proposals, and overseeing large-scale implementation and modernization projects. This is an excellent opportunity to influence enterprise data transformation while mentoring engineering teams and driving innovation in a collaborative consulting environment.
- 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.
