Data Technology Consultant
EPAM Systems
Job description
About the role
We are seeking a Data Technology Consultant to join our Data Practice team and help clients unlock the full value of their data. The role involves shaping analytics strategies, recommending technology solutions, and supporting the implementation of scalable data platforms across multiple industries.
Key responsibilities
- Support and contribute to data analytics strategy and consulting engagements.
- Evaluate, recommend, and design data technology solutions aligned with client objectives.
- Document current data architectures and identify opportunities for digital transformation.
- Maintain up‑to‑date knowledge of architecture trends and act as a Data Solution Architect when needed.
- Build strong client relationships and present technology options to stakeholders.
- Collaborate with internal, client, and third‑party teams to ensure successful delivery.
- Support implementation of data governance, data quality, and data privacy frameworks.
- Contribute to AI/ML‑enabled solutions and advise on Generative AI adoption.
- Participate in business development activities such as case studies and content creation.
Required profile
- 5+ years of hands‑on experience as a Data Technology Consultant or Solution Architect delivering enterprise‑scale analytics solutions.
- Proficiency in at least one area: data engineering, cloud data warehousing, BI/visualization, or distributed data processing.
- Experience working across sectors such as financial services, retail, life sciences, energy, or the public sector.
Required skills
- Data Engineering
- Cloud data warehousing (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse)
- BI and visualization tools (Power BI, Tableau, QlikView, Looker)
- Distributed data processing frameworks
- AI/ML and Generative AI concepts
- Data governance, data quality, and data privacy compliance
What we offer
- Fully remote work from any location in Armenia.
- Opportunities to work on high‑impact projects across diverse industries.
- Collaborative environment with a focus on continuous learning and innovation.
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