Lead Solution Architect

We are seeking a highly motivated Lead Solution Architect to join our team. The Lead Solution Architect will be responsible for managing multiple programs and projects, collaborating with cross-functional teams, and delivering high-quality solutions. The ideal candidate will have a strong background in program management, excellent communication skills, and experience in managing complex programs.

Key Roles & Responsibilities
Technical Competency & Solution Excellence

• Provide technical leadership in Cloud, Data, AI/ML, and Advanced Analytics within CPG.
• Guide solution architecture, ensuring alignment with industry best practices and client needs.
• Evaluate and drive adoption of new technologies to enhance delivery and efficiency.
• Ensure seamless integration between platforms such as Databricks, Azure, AWS, SAP, and CPG-specific tools.

Client Engagement & Business Growth

• Build and nurture strong client relationships, acting as a trusted advisor.
• Drive account growth through proactive strategy development and cross-selling opportunities.
• Lead pre-sales initiatives, crafting compelling value propositions.

Strategic Planning & Expansion

• Identify and develop new business opportunities within existing and emerging markets.
• Collaborate with leadership to define growth roadmaps and execution strategies.
• Stay ahead of industry trends and innovations to maintain competitive positioning.

Stakeholder Management & Satisfaction

• Act as the primary escalation point, ensuring client concerns are addressed promptly.
• Gather and incorporate feedback to enhance service delivery and engagement.

Program & Delivery Oversight

• Ensure seamless execution of engagements, meeting client expectations and SLAs.
• Oversee implementation teams, ensuring high-quality technical delivery.
• Drive continuous improvement and innovation in solutions.

Skills & Experience:

• 12-20 years of hands-on Data Engineering development experience
• Proficient in Object-oriented languages (Python, PySpark) and frameworks
• Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc.
• Along with technical expertise, we are also expecting candidates to have an aptitude for helping client organizations to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and help launch the build-out of those systems.