As a Senior Data Consultant, you will serve as the strategic bridge between complex technical ecosystems and executive business objectives. This is not a back-office role; you will be the face of data transformation, leading high-stakes engagements that turn raw data into competitive advantages. Leveraging a "consulting-first" mindsetideally honed within a Big 4 environmentyou will design and deliver scalable architecture, navigate ambiguous business requirements, and enable client self-sufficiency through structured knowledge transfer.

Key Responsibilities :

- Strategic Architecture & Selection : Architect end-to-end data solutions (Lakehouse, Mesh, or Warehouse) using Databricks, Snowflake, or Azure Data Factory. You are expected to recommend tech stacks based on total cost of ownership (TCO) and business fit, not just technical familiarity.

- End-to-End Delivery Leadership : Own the delivery lifecycle from hypothesis-driven discovery and requirements gathering to deployment and SLA stabilization.

- Executive Stakeholder Orchestration : Simplify multi-layered technical challenges into high-impact narratives for C-suite audiences. Lead workshops and steering committee meetings to drive consensus on critical data decisions.

- Data Enablement & Governance : Establish robust access governance and reporting frameworks that ensure data quality, regulatory compliance (GDPR/DPDP), and operational transparency.

- Knowledge Asset Creation : Develop reusable frameworks, "accelerator" code libraries, and comprehensive documentation to reduce client dependency and improve internal delivery speed.

Required Skills & Experience :

- Consulting Pedigree : 812 years of professional experience, with a significant tenure in a top-tier management or technology consulting firm (e.g., Deloitte, PwC, EY, KPMG).

Technical Fluency :

- Expert-level SQL and Python for data engineering and analysis.

- Proven hands-on delivery in Databricks (Spark), Snowflake, or Azure Data Factory.

- Deep understanding of ETL/ELT patterns and modern data modeling (Vault, Star Schema).

- Cross-Cloud Mastery : Ability to navigate and deploy solutions across Azure, AWS, and GCP, understanding the nuances of each provider's data services.

- Domain Expertise : Demonstrated experience delivering data solutions within high-compliance sectors such as BFSI, Healthcare, or Retail.

- Structured Problem Solving : Mastery of MECE (Mutually Exclusive, Collectively Exhaustive) frameworks and hypothesis-driven approaches to decompose "wicked" business problems.

Preferred Qualifications :

- Certifications : Databricks Certified Solutions Architect, Snowflake Pro, or Lead Cloud Architect certifications (Azure/AWS/GCP).

- Advanced Degree : MBA or Masters in Data Science/Engineering from a premier institution.

- Transformation Experience : Lead-level involvement in a large-scale ($5M+) digital or data transformation program.

Key Competencies / What Success Looks Like :

- The "Consulting Edge" : You don't just deliver a dashboard; you deliver a business outcome. You anticipate client needs before they are articulated and manage escalations with poise and clinical precision.

- High-Velocity Problem Solving : Success is defined by your ability to maintain quality while operating under the pressure of tight migration deadlines or critical system outages.

- Balanced Judgment : You possess the professional maturity to know when to build a "gold-standard" long-term solution and when to deploy a "minimum viable" fix to satisfy urgent business-critical needs.

- Effective Mentorship : You are a force multiplier. Success is measured by the growth of the consultants around you and the technical maturity of the client teams you enable.

- Storytelling : The ability to turn a complex data lineage diagram into a compelling 3-slide executive summary that triggers decisive action