Director- GCP Solution Architect

Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance.

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at Evalueserve

• Serve as a trusted technical advisor to clients, helping them understand and leverage the value of a robust data strategy, architecture, and engineering on Google Cloud.

• Provide deep, hands-on consulting, guiding clients through architectural and design decisions to ensure scalable, secure, and optimized data solutions.

• Partner with clients to identify and address their data, analytics, and AI requirements, facilitating their journey toward becoming data-driven organizations.

• Work closely with sales teams to align technical strategies with client needs, ensuring that proposed solutions meet both client and organizational objectives.

• Participate in client meetings and sales pitches to articulate technical capabilities and business value, helping drive deal closures.

• Translate technical requirements into comprehensive, compelling proposals and presentations to effectively communicate value propositions to both technical and business stakeholders.

• Leverage deep technical knowledge to address objections, design optimal solutions, and articulate the benefits of the proposed solutions to aid deal closure.

• Support post-sales activities by ensuring smooth handovers to delivery teams and maintaining client engagement for upselling and cross-selling opportunities.

• Act as a technical liaison between pre-sales and delivery teams, ensuring continuity and alignment from solution design to implementation.

• Act as a bridge between technical delivery and business development, ensuring solutions are both technically sound and commercially viable.

• Develop scalable data architecture frameworks that support diverse client needs, including data warehousing, data lakes, and analytics on Google Cloud.

What we are looking for

• Bachelor’s degree in computer science, Data Science, Engineering, or a related field; a master’s degree is preferred

• 12+ years of experience in data architecture, data engineering, and cloud solutions, with at least 5 years on Google Cloud (e.g., Big Query, Dataflow, Data proc, Gemini and Vertex AI, etc.)

• Strong familiarity with one or more additional cloud platforms (AWS, Azure) is preferred

• Demonstrated success in a client-facing consulting role, ideally within a pre-sales or solutioning environment, with proven ability to close deals.

• Proven experience in sales enablement, including proposal development, client presentations, and deal negotiation.

• Strong understanding of sales cycles and ability to align technical deliverables with business outcomes.

• Excellent presentation, communication, and interpersonal skills, with experience interfacing with both technical and business stakeholders

• Strong understanding of data management best practices, data modeling, data governance, cloud-based security protocols and security frameworks in a cloud environment

• Ability to work in a fast-paced environment, balancing multiple priorities and projects simultaneously

• Solid knowledge of data warehousing, ETL processes, data lakes, and real-time analytics.

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