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 .