Role Overview

We are seeking a seasoned Data Architect with 12–14 years of experience in designing

and delivering enterprise-scale data platforms. The role requires strong expertise in

data architecture, governance, integration, and analytics enablement across cloud and

on-premise ecosystems. The ideal candidate will translate business strategy into

scalable, secure, and high-performance data solutions.

Key Responsibilities

1. Define enterprise data architecture strategy aligned with business objectives.

2. Design and implement data models (conceptual, logical, physical) and data

integration frameworks.

3. Architect modern data platforms (Data Lake, Data Warehouse, Lakehouse).

4. Establish data governance, quality, lineage, and metadata management frameworks.

5. Lead cloud data architecture initiatives (Azure/AWS/GCP).

6. Collaborate with BI, analytics, engineering, and business stakeholders.

7. Ensure security, compliance, and performance optimization standards.

Required Skills & Experience

1. 12–14 years in data engineering, data architecture, or BI architecture roles.

2. Strong expertise in SQL, ETL/ELT, data modeling, and large-scale data processing.

3. Hands-on experience with cloud data services (e.g., Azure Synapse, AWS Redshift,

BigQuery).

4. Knowledge of data governance and master data management principles.

5. Experience working with structured and unstructured data ecosystems.

6. Strong stakeholder management and leadership capabilities.

Preferred Qualifications

1. Experience in enterprise digital transformation programs.

2. Exposure to data mesh or data fabric architecture principles.

3. Certifications in cloud platforms or data architecture.