Senior Data Engineering Practice Lead
22 hours ago
We are seeking an experienced Senior Data Engineering Practice Lead to lead our data engineering practice. The ideal candidate will have a strong understanding of cloud-based architectures for data collection, aggregation, reporting, and business intelligence.
As a Senior Data Engineering Practice Lead, you will provide strategic guidance to clients across various industries on selecting the right data and machine learning platforms, data strategies, expected impact, and relevant tools and methodologies to accelerate big data and advanced analytics programs.
You will lead pre-sales and consulting engagements, architecture assessments, and discovery workshops to drive technology consulting and planning for Fortune-1000 enterprises.
Key Responsibilities- Provide strategic guidance to clients on data and machine learning platforms, data strategies, and expected impact.
- Lead pre-sales and consulting engagements, architecture assessments, and discovery workshops.
- Create innovative solutions in data engineering, MLOps, and data governance through research and development activities on industry trends.
- Collaborate with Grid Dynamics' delivery organization to ensure the implementation of best-in-class tools, technologies, and processes.
- Develop and maintain relationships with key technology partners (AWS, GCP, Azure) and industry analysts.
- Extensive practical experience in Big Data engineering, data governance, and cloud data platforms.
- Strong understanding of ML platforms and tooling including open-source, cloud native, and proprietary.
- Deep domain knowledge in at least one of the following industries: Retail, Finance, Manufacturing, Healthcare, or Life Sciences.
- Experience managing and delivering sophisticated analytical and data engineering programs at an enterprise scale.
- Familiarity with Big 4 consulting is a plus.
- Proficiency in technology skills such as data engineering, transactional databases, and ML/MLOps.
Grid Dynamics is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. We enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges.
Our team has 7+ 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, set us apart.
Estimated Salary: $250,000 - $350,000 per annum
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