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Data Technology Consultant

EPAM Systems

Senior 🇬🇧 English
Data Engineering Snowflake BigQuery Redshift Azure Synapse Power BI Tableau QlikView Looker Spark Kafka Databricks AWS Azure Data governance Data quality Data privacy compliance AI/ML Generative AI Responsible AI

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. You will work on high‑impact digital transformation projects across industries such as financial services, retail, life sciences, energy, and the public sector.

Key responsibilities

  • Support and contribute to data analytics strategy and consulting engagements.
  • Evaluate, recommend, and design data technology solutions that align with client objectives.
  • Document current data architectures and identify improvement opportunities.
  • Maintain up‑to‑date knowledge of technical solutions, architecture trends, and best practices.
  • 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, data readiness, and responsible AI.
  • 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 data analytics solutions.
  • Proficiency in at least one area: data engineering, cloud data warehousing, BI/visualisation, distributed data processing, or data science/ML.
  • Working knowledge of at least one major cloud platform (AWS, Azure, or GCP).

Required skills

  • Data Engineering
  • Snowflake, BigQuery, Redshift, Azure Synapse
  • Power BI, Tableau, QlikView, Looker
  • Spark, Kafka, Databricks, Microsoft Fabric
  • AWS, Azure, Google Cloud Platform
  • Data governance, data quality, data privacy compliance
  • AI/ML, Generative AI, responsible AI practices

What we offer

  • Opportunities to work on diverse, high‑impact projects across multiple industries.
  • Collaborative environment with a focus on continuous learning and innovation.

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Published 1 month ago

Expires 2 weeks from now

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EPAM Systems