Data Technology Consultant

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