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Data Technology Consultant
Job in
Kenai, Kenai Peninsula Borough, Alaska, 99611, USA
Listed on 2026-06-05
Listing for:
EPAM Systems, Inc.
Full Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
You will guide clients through complex data architecture challenges and lead consulting initiatives that drive impactful business outcomes. Join us to shape the future of enterprise data solutions and provide strategic advisory services to our clients.
Responsibilities Oversee the design and deployment of enterprise data platforms and solutions in alignment with business objectives
Architect data frameworks including data lakes, analytics platforms, and reporting systems leveraging AWS, Azure, or GCPPartner with business leaders, Solution Architects, and technical teams to convert requirements into robust and scalable data architectures
Counsel clients on data strategy, governance, and operational models to develop effective data ecosystems
Lead consulting engagements and presales efforts by showcasing deep expertise in data engineering, management, and analytics
Evaluate existing data environments, pinpoint deficiencies, and propose enhancements for data quality, governance, and availability
Monitor industry trends and emerging technologies in data management, AI/ML, and cloud services to maintain competitive positioning
Facilitate the development and deployment of accelerators, blueprints, and open-source tools for data service offerings
Champion adherence to SDLC best practices, encouraging quality-focused code development and continuous integration/continuous delivery (CI/CD)
Articulate complex technical strategies clearly to both technical and non-technical stakeholders
Cultivate and sustain strong client partnerships as a trusted advisor in data technology and strategy
Requirements
Extensive experience of 5+ years in Data Technology Consulting, Data Architecture, or equivalent roles on enterprise data projects
Comprehensive knowledge of data architecture, lifecycle management, and enterprise data product design
Proven experience delivering large-scale data solutions including data lakes, analytics platforms, and reporting systems
Proficiency with data platforms and cloud technologies such as AWS, Azure, or GCPExpertise in data processing frameworks like Databricks or Microsoft Fabric Strong programming skills in SQL and Python Background in Master Data Management, data governance frameworks, and data quality tools
Familiarity with AI/ML technologies including NLP and computer vision
Understanding of software development lifecycle (SDLC), CI/CD processes, and quality-driven development practices
Analytical mindset with strong problem-solving abilities for innovative data solution design
Ability to collaborate effectively with both technical and business stakeholders to create and execute data strategies
Proven track record managing and delivering complex data projects with measurable business impact
Excellent organizational skills to handle multiple priorities and projects simultaneously
Consulting expertise in stakeholder management, client relationship building, and clear communication of technical concepts
Fluent English communication skills at C1 level, both written and verbal
Capability to stay updated with industry trends, conduct market and competitor research, and apply insights to strategic planning
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