Senior Big Data Architect

Grid Dynamics; United States; On-site; USD 119,000 - 215,000; Full time

Job summary

An established industry player is seeking a Senior Big Data and MLOps Architect to lead transformative projects with Fortune 1000 clients. This role involves advising on data strategies, leading consulting engagements, and mentoring a team of experts. You will drive innovation in data platforms and MLOps, ensuring high-quality solutions are delivered. Join a dynamic team dedicated to advancing technology and making a significant impact across various industries. This is a unique opportunity to work on cutting-edge projects and shape the future of data engineering and AI solutions.

Benefits

Medical insurance

Vision insurance

Disability insurance

Paid maternity leave

Paid paternity leave

401(k)

Corporate social events

Well-equipped office

Qualifications

• Extensive experience in Big Data engineering and cloud data platforms.
• Strong understanding of AI/ML platforms and MLOps methodologies.
• Experience in managing sophisticated analytical programs at enterprise scale.

Responsibilities

• Advise clients on data strategies and AI/ML platforms.
• Lead technology consulting engagements and architecture assessments.
• Develop consulting methodologies and manage relationships with partners.

Skills

Big Data Engineering

MLOps

AI Platforms

Data Governance

Cloud Data Platforms

Consulting Leadership

Education

Bachelor's Degree in Computer Science

Tools

GCP

AWS

Azure

Vertex AI

Sagemaker

Dataiku

Databricks

Ray.io

Job description

Grid Dynamics (NASDAQ:GDYN) is looking for a Senior Big Data and MLOps Architect to lead major engagements with Fortune 1000 clients and develop the Data Engineering and MLOps practice across the USA, Europe, and Asia business units. We are looking for a result-oriented thought-leader to drive disruptive innovation and capability building in data platforms, MLOps, and LLMOps; a trusted advisor to our customers across verticals to design and deliver enterprise data and AI solutions.

Responsibilities:

• 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.

Requirements:

• 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.
• Bachelor’s degree required, preferably in Computer Science or a related field.
• 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
• ML and MLOps: Vertex AI, Sagemaker, Dataiku, Databricks
• LLMOps: Closed-source and open source LLMs, caching, fine-tuning, Ray.io

We offer:

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Corporate social events
• 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.

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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Inferred from the description for this job

Medical insurance

Vision insurance

Disability insurance

Paid maternity leave

Paid paternity leave

401(k)

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