Senior Big Data and MLOps Architect

Essential functions

• Solution Strategy: Advise clients on corporate data strategies, data platforms, AI/ML/LLMOps platforms, and relevant tools and methodologies that they can deploy to accelerate Big Data and AI programs. Estimate business value and provide justification.
• Consulting Leadership: Lead and drive technology consulting engagements and pre-sales, architecture assessments, and discovery workshops. Plan data engineering, MLOps, and LLMOps programs of Fortune-1000 enterprises and lead a team of principal consultants, data engineers, and ML engineers who work on client accounts and drive consulting engagements to success.
• Practice Development: Lead and mentor a team of senior technologists, develop consulting methodologies and playbooks. Manage relationships with technology partners and industry analysts like Gartner and Forrester.
• Technology Strategy: Lead the development of reusable assets in data engineering, MLOps, IoT, and Customer 360 that reduce the implementation costs, accelerate the delivery, and create differentiation. Collaborate with the marketing and sales teams on bringing these solutions to the market.
• Delivery: Work with Grid Dynamics’s delivery organization to ensure that the right tools, technologies, and processes are in place across the firm to transform and continuously improve the quality and efficiency of our clients’ data platforms and data management processes.

Qualifications

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

Technology skills:

• Strong expertise with at least one cloud platform and familiarity with other two: GCP, AWS, or Azure
• Data engineering: data lakes, EDW, Spark, Flink, Kafka, data governance, data mesh, Snowflake, Databricks
• ML and MLOps: Vertex AI, Sagemaker, Dataiku, Databricks
• LLMOps: Closed-source and open source LLMs, caching, fine-tuning, Ray.io
• Transactional databases: Redis, Ignite, Cassandra, MongoDB

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.