Senior Big Data/MLOps Architect

Essential functions

• Solution Strategy: Advise clients on data strategies, platforms, AI/ML/LLMOps, and the tools needed to accelerate Big Data and AI initiatives. Provide business value estimates and justifications.

• Consulting Leadership: Lead technology consulting engagements, pre-sales, architecture assessments, and discovery workshops. Drive data engineering, MLOps, and LLMOps programs for Fortune 1000 enterprises, managing a team of principal consultants, data engineers, and ML engineers.

• Practice Development: Mentor senior technologists, develop consulting methodologies and playbooks, and manage relationships with technology partners and industry analysts

• Technology Strategy: Develop reusable assets in data engineering, MLOps, IoT, and Customer 360 to reduce costs, accelerate delivery, and create differentiation. Collaborate with marketing and sales to bring solutions to market.

• Delivery Execution: Ensure efficient data platforms and data management processes, continuously improving quality and efficiency.

Qualifications

• Extensive practical experience in Big Data engineering, data governance, and cloud data platforms.

• Strong expertise with at least one cloud platform and familiarity with other two: GCP, AWS, or Azure

• Extensive practical experience in AI/ML platforms, MLOps, LLMOps, and corresponding tooling including open-source, cloud native, and proprietary.

• Strong understanding of cloud-based architectures for data collection, data aggregation, reporting, and BI.

• Experience in managing and delivering sophisticated analytical and data engineering programs at the enterprise scale.

• Deep domain knowledge in at least one of the following industries: Finance, Manufacturing, Healthcare, Life Sciences, Energy, or Travel. Experience with IoT and/or Customer 360 solutions.

• Experience with leading teams of senior technologists, willingness and ability to drive the practice development, pre-sales collaboration, and delivery in a consulting environment.

• Managed key client relations worldwide and advised global technology and business leaders on innovation and data strategy.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.