Senior Architect – Data Engineering (Databricks) - Contractor - India

Senior Architect – Data Engineering - Contract 6+ months / Start date - Dec/Jan

Who You’ll Work With our Client who is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

What You’ll Do

• Collaborate closely with data leaders to drive sales, recruiting, account management, consulting, and operational excellence across the practice

• Be part of our growing Databricks Center of Excellence and focus on leading on Databricks projects.

• Act as a Databricks SME, supporting business development efforts and guiding clients through best practices in architecture, data engineering, and scalable analytics

• Drive innovation and performance through a team-based approach that values output, ownership, and employee wellbeing

• Lead and manage project risk—including planning, budgeting, deliverables, and executive-level alignment

• Deepen Slalom’s presence in the market by developing proposals, SOWs, and strategies to grow our footprint within existing accounts

• Provide technical and architectural guidance on Databricks, modern data platforms, and cloud-native solutions to both clients and Slalom team members

• Be a mentor and thought leader, regularly recommending emerging technologies and tools that align with client goals and future-state data strategies

• Bring a business-first lens to every conversation, driving impactful, tech-enabled outcomes that elevate our clients’ competitive edge

• Embody Slalom’s core values and culture, bringing authenticity, curiosity, and care into every interaction

What You’ll Bring

As a Senior Architect in the Databricks practice, you will bring your broad experience in architecture design and deep expertise in data engineering to tackle the most complex data challenges for our clients. You are a visionary leader who can drive strategic initiatives and foster an environment of innovation.

Key Responsibilities:

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Develop and oversee large-scale data architecture projects, leveraging Databricks and its specific platform features such as Delta Lake, Unform (Iceberg), Delta Live Tables, and Unity Catalog to deliver high-impact solutions.

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Provide leadership and strategic direction to engineering teams, ensuring alignment with client objectives, and maximizing the use of Databricks' features.

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Serve as a trusted advisor to clients, guiding them through digital transformation and data strategy development, with a focus on leveraging Databricks to its fullest potential.

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Serve complex Databricks implementation sales/pre-sales pursuits in the capacity of Sales Solution Lead/Lead Architect crafting tailored proposals based on client needs.

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Lead large Databricks migration/modernization delivery engagements as a Delivery Solution Lead leading a team of data architects and engineers.

Requirements:

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10+ years of experience in data engineering or architecture, with a minimum of 6+ years of extensive hands-on experience with Databricks, including specific products like Delta Lake, Delta Live Tables, and Unity Catalog.

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Mastery of Big Data Platforms, Cloud Data Warehouses, and Object-Oriented Programming.

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Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.

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Overall understanding of different Databricks platform and governance capabilities to drive design of customized, tailored data platform solution meeting client business needs.

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Bring in deep, demonstratable industry experience in designing data & AI platform solution delivery enabling business value delivery.

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Experience in delivering large scale migration, modernization initiative from legacy Data Warehouses to Databricks Lakehouse platform.

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An ideal candidate will have Databricks Data Engineering Professional ceritification completed with experience in leading multiple complex Databricks project delivery experience.