10 days ago

Data & AI Technology Consultant

EPAM Systems

Hybrid
Full Time
$194,000
Hybrid

Job Overview

Job TitleData & AI Technology Consultant
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$194,000
LocationHybrid

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Job Description

Overview

EPAM Systems is seeking a strategic Data & AI Technology Consultant with expertise in Databricks and modern data platforms. This high-impact role involves designing impactful strategies, solving complex business problems for global organizations, and offers significant opportunities for skill development and career advancement. If you thrive in a dynamic team environment and are looking to make a true impact, this is the perfect opportunity.

Responsibilities

  • Manage and harmonize efforts across diverse data and AI disciplines, ensuring alignment with strategic business outcomes.
  • Bridge business and technology needs, translating complex requirements into scalable data platform solutions.
  • Collaborate with EPAM leadership to shape strategic investments and innovation within the Data & Analytics domain.
  • Establish modern cloud-native architectures utilizing Databricks, Delta Lake, and Unity Catalog, building scalable Lakehouse architectures.
  • Lead cross-functional advisory and delivery teams to ensure actionable insights and measurable business value.
  • Develop and promote technological assets including blueprints, reference architectures, and accelerators for data modernization.
  • Provide technical oversight while integrating AI/ML capabilities into data ecosystems, supporting proposals and communicating technical solutions effectively.

Requirements

  • Deep experience with Databricks (Delta Lake, Unity Catalog, Workflows, MLflow) and modern data platforms (AWS, Azure, or GCP).
  • Strong understanding of enterprise data architecture, including data lakes, lakehouses, data mesh, and streaming architectures.
  • Proven ability to influence senior stakeholders and articulate complex technical strategies in clear business terms.
  • A natural storyteller and communicator with a consultative mindset and the ability to lead effectively without direct authority.
  • Experience in both pre-sales and delivery, capable of transitioning between execution and strategic advisory modes.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized)
  • Health Savings Account, Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability (Company Provided)
  • Life and AD&D Insurance (Company Provided), Employee Assistance Program
  • Unlimited access to LinkedIn learning solutions
  • Matched 401(k) Retirement Savings Plan
  • Paid Time Off (15-25 days, depending on level and tenure), Paid Holidays (nine total per year)
  • Legal Plan and Identity Theft Protection, Accident Insurance, Employee Discounts, Pet Insurance
  • Employee Stock Purchase Program
  • Participation in discretionary annual bonus program (if eligible)
  • Participation in the discretionary Long-Term Incentive (LTI) Program (if eligible and hired into a qualifying level)

Key skills/competency

  • Databricks
  • Delta Lake
  • Unity Catalog
  • Cloud Architecture
  • AI/ML Integration
  • Data Strategy
  • Stakeholder Management
  • Lakehouse Architecture
  • Data Modernization
  • Pre-sales & Delivery

Tags:

Data & AI Technology Consultant
Data strategy
AI integration
Cloud architecture
Stakeholder management
Pre-sales
Delivery leadership
Business problem-solving
Solution design
Innovation
Technical oversight
Databricks
Delta Lake
Unity Catalog
MLflow
AWS
Azure
GCP
Data Lakes
Lakehouse
Data Mesh

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How to Get Hired at EPAM Systems

  • Research EPAM Systems's culture: Study their mission, values, global presence, and impact on LinkedIn and Glassdoor.
  • Tailor your resume strategically: Highlight deep expertise in Databricks, modern data platforms, and AI/ML integration for EPAM Systems.
  • Showcase leadership and influence: Emphasize experience managing cross-functional teams and articulating technical vision to senior stakeholders.
  • Prepare for architectural discussions: Demonstrate strong understanding of Lakehouse, data mesh, and streaming architectures.
  • Develop your storytelling ability: Practice translating complex technical concepts into clear, business-centric narratives.

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