Job DescriptionRequired Skills & Experience
n
n
14+ years of experience in data engineering, architecture, and analytics, including substantial experience owning delivery and/or account leadership.n
Proven hands-on expertise across the full data stack: SQL, Python, ETL/ELT (Alteryx, Informatica, Azure Data Factory, dbt), and cloud data platforms (Azure, AWS, or GCP — Snowflake, Databricks, Synapse, Redshift, BigQuery).n
Deep architectural experience — data lake/warehouse/lakehouse design, enterprise/common data models (CDM), and data governance & catalog tooling (Collibra, Purview, Alation).n
Robust analytics/BI background — Power BI, Tableau, Qlik — and experience enabling self-service and advanced analytics/AI-ML use cases.n
Demonstrated experience managing multiple client accounts or a portfolio of engagements simultaneously, including account growth, delivery governance, and executive relationship management.n
Track record leading large data transformation programs end-to-end — from strategy and roadmap through architecture, build, and adoption.n




Solid pre-sales/solutioning capability — proposals, RFP responses, staffing plans, and commercial/delivery models.n
Excellent stakeholder management and communication skills — equally credible with C-level executives and hands-on technical teams.n
Demonstrated people leadership — building, mentoring, and scaling multi-disciplinary data teams across engagements.n
BFSI domain knowledge preferred — regulatory/risk reporting, core banking data, and compliance frameworks (BCBS 239, Basel, CCAR).n

nPreferred Qualifications
n
n
Bachelor's or Master's degree in Computer Science, Data/Information Systems, Engineering, or a related field; MBA a plus.n
Cloud or architecture certifications (Azure/AWS/GCP, TOGAF) and/or data management certification (DAMA/CDMP).n
Prior experience in a consulting, systems-integrator, or professional-services workplace managing a multi-client portfoli

📌 Director Data Analytics Ghaziabad
🏢 Anaptyss
📍 Ghaziabad