Data Technology Consultant

EPAM Systems; Bengaluru; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

EPAM Systems in Bengaluru seeks a Data Technology Consultant to lead large-scale data-driven solutions that align with business goals and data strategies. You will define data strategy, design architectures, and drive data product development for BFSI/Retail clients, overseeing engagements and delivering valuable outcomes.

Strong cloud data platform and BI tool expertise, plus fluent English, are essential.

Qualifications

• 15+ years of experience in the data domain, including 5+ years as a Data Consultant.
• Retail analytics experience: demand forecasting, inventory optimization, and supply chain analytics.
• Expertise with data products covering data modeling and technical design.
• Knowledge of data governance and data architecture concepts.
• Experience with requirements engineering, solution architecture, and systems development.
• Cloud platforms and data platforms such as Azure, AWS, or GCP; Databricks, Snowflake, BigQuery.
• Proficiency in Python and SQL; BI tools including Power BI, Tableau, and Looker.
• Excellent spoken and written English communication.

Responsibilities

• Design and evolve large-scale data-driven solutions.
• Lead the definition of the north-star business vision and data strategy.
• Own the as-is and to-be states, recommending solutions to maximize outcomes.
• Advise on operating models and necessary business changes.
• Oversee at least one account or client engagement.
• Drive data product development and migrations for large engagements.
• Plan and manage product and engagement team activities.
• Produce high-quality deliverables aligned to client objectives.

Skills

Python

SQL

Power BI

Tableau

Looker

Databricks

Snowflake

BigQuery

Azure

AWS

GCP

Data modeling

Data governance

Solution architecture

Requirements engineering

English fluency

Tools

Databricks

Snowflake

BigQuery

Power BI

Tableau

Looker

Job description

We are seeking a skilled Data Technology Consultant to lead and design impactful large-scale data-driven solutions that align with business goals and data strategies. With a focus on innovation, collaboration and technical excellence, you will drive data strategies, product development and deliver high-value outcomes for clients.

Responsibilities

• Design and evolve large-scale data-driven solutions
• Lead the definition of the north-star business vision and data strategy
• Own the definition of as-is and to-be states while recommending solutions to maximize business outcomes
• Advise on operating models and required business changes
• Oversee at least one account or client engagement
• Contribute to defining and measuring business value and ROI for medium and large-scale engagements
• Drive medium or large-complexity data product development or lead discovery and migration activities as a Consulting Manager
• Monitor adoption of data products through usage, user satisfaction and monetary impact
• Plan and manage product and engagement team activities
• Produce high-quality deliverables that meet client objectives and are well received
• Define enterprise data strategy and roadmap for BFSI/Retail clients
• Conduct data maturity assessments and architecture reviews

Requirements

• 15+ years of experience in the data domain including 5+ years as a Data Consultant
• Background in retail domain analytics including demand forecasting, inventory optimization and supply chain analytics
• Expertise with data products covering data modeling and technical design
• Understanding of data governance and data architecture concepts
• Exposure to requirements engineering, solution architecture and systems development
• Knowledge of data and analytics platform architectures, data warehousing and data management
• Capability to design, deploy, troubleshoot and re-platform distributed systems on premises and in the cloud
• Familiarity with architecture design processes including quality attributes, technology selection and estimation
• Competency with cloud platforms such as Azure, AWS or GCP
• Background in data platforms like Databricks, Snowflake or BigQuery
• Skills in Python and SQL
• Proficiency with BI analytics tools such as Power BI, Tableau or Looker
• Fluent English and excellent communication skills