Data Architect

A result- oriented thought-leader to drive the development of the data engineering practice

A trusted advisor and business partner to customers across verticals, and consulting team leader who establishes engineering processes and skill development.

Technology skills (any of below):

Essential functions

Responsibilities:

Trusted Advisor: Provide direction to clients in different verticals on their selection of data and ML platforms, data strategies, expected impact, and relevant tools and methodologies that they can deploy to accelerate Big Data and advanced analytics programs.

Pre-Sales and Consulting: Lead and drive technology consulting engagements and pre-sales, architecture assessments, and discovery workshops. Plan data engineering programs of Fortune-1000 enterprises and lead a team of principal consultants and data engineers who work on client accounts and drive consulting engagements to success.

Technology Strategy and R&D: Create and bring to the market solutions in data engineering, MLOps, data governance. Responsible for driving innovation through research and development activities on industry trends, defining Go-To-Market strategies, developing

assets and solutions strategy across multiple industries.

Engineering: Working 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.

Business Development & Partnership:

Manage relationships with key technology partners(AWS, GCP, Azure) and industry analysts.

Requirements:

Qualifications

Experience with enterprise Architecture.

Would be a plus

Enterprise Architecture

We offer

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.