we have urgent hiring forSenior Data Lead Location: Gurgaon Sec 49Role: Senior Data LeadExperience: 8 yearsCtc- Max upto 36 LpaWorking Days: Work from Office (Mon-Fri), Hybrid (3 days in a week)Working Hours (9 am- 6 pm)This Opportunity
- We are hiring a Senior Data Lead to anchor and grow our data function in India. This is not a back-office execution role. You will be the d in client engagements, the technical backbone of our data practice, and the person who sets the standard for how our team works in an AI-first world.
- You will lead a current team of data professionals; spanning data engineering, BI, and data migration with a clear mandate to grow the team as the practice expands. Day to day, you will work closely with our tech leads and project managers across a diverse portfolio - data warehousing, Data Modelling, ERP data migrations and transformation, Microsoft Fabric implementations, Power BI analytics, and leading SQL data tasks in custom application development.
- You will be expected to be client-facing and operating independently within 15 days of joining. There are active projects work on the table. This is an immediate hire and the expectation reflects that.What you will do

Client Delivery and Engagement:
- Own the data conversation in client-facing engagements: workshops, discovery sessions, and technical reviews.
- Translate complex business problems into transparent data architecture and transformation recommendations.
- Work alongside Business Analyst, Tech Leads, functional consultants on ERP and enterprise transformation projects,



owning the data layer end-to-end right from source profiling through to post-migration reconciliation.
- Present data models, findings, and technical solutions clearly to non-technical business stakeholders.

Data Architecture & Engineering:
- Design and implement data models: Dimensional modelling, star schema, and data vault principles applied to real DW and application projects
- Build, own, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, and Microsoft Fabric.
- Lead data migration workstreams: Source profiling, transformation logic, load scripts, validation, reconciliation, and cut-over planning.
- Write complex, optimised SQL as a daily discipline: not just for querying but for designing robust, maintainable transformation logic.
- Ensure data quality, integrity, and reliability across all project deliverables.Team Leadership & AI-First Ways of Working:

- Lead, mentor, and grow a current data team spanning data engineering, BI, and data migration across varying seniority levels. You will be the technical ceiling and the cultural anchor for this group.

- Define individual growth paths for each team member and build the teams collective capability in a structured, deliberate way.
- Champion AI-native working practices actively using frontier AI tools to accelerate data engineering, SQL authoring, documentation, and peer review.
- Collaborate with delivery managers on estimation, resourcing, and technical risk identification.
- Establish data engineering standards, code review practices, and documentation habits across the team
- Thanks & RegardsHR. Munisha ThakurPh No:- hidden_mobileEmail Id:- hidden_emailOrbitouch Outsourcing Pvt Ltd

📌 Senior Data Lead (Noida)
🏢 Orbitouch Outsourcing Private
📍 Noida