Data Architect

Role & responsibilities

Requirements:

• Data Modeling (Conceptual, Logical, Physical)- Minimum 5 years
• Database Technologies (SQL Server, Oracle, PostgreSQL, NoSQL)- Minimum 5 years
• Cloud Platforms (AWS, Azure, GCP) - Minimum 3 Years
• ETL Tools (Informatica, Talend, Apache Nifi) - Minimum 3 Years
• Big Data Technologies (Hadoop, Spark, Kafka) - Minimum 5 Years
• Data Governance & Compliance (GDPR, HIPAA) - Minimum 3 years
• Master Data Management (MDM) - Minimum 3 years
• Data Warehousing (Snowflake, Redshift, BigQuery)- Minimum 3 years
• API Integration & Data Pipelines - Good to have.
• Performance Tuning & Optimization - Minimum 3 years
• business Intelligence (Power BI, Tableau)- Minimum 3 years

• We are seeking

  experienced Data Architects

  to design and implement enterprise data solutions, ensuring data governance, quality, and advanced analytics capabilities. The ideal candidate will have expertise in defining data policies, managing metadata, and leading data migrations from legacy systems to

  Microsoft Fabric/DataBricks/

  .
• Experience and deep knowledge about at least one of these 3 platforms is critical. Additionally, they will play a key role in identifying use cases for advanced analytics and developing machine learning models to drive business insights.

Key Responsibilities:

1. Data Governance & Management Establish and maintain a Data Usage Hierarchy to ensure structured data access. Define data policies, standards, and governance frameworks to ensure consistency and compliance. Implement Data Quality Management practices to improve accuracy, completeness, and reliability. Oversee Metadata and Master Data Management (MDM) to enable seamless data integration across platforms.

2. Data Architecture & Migration Lead the migration of data systems from legacy infrastructure to Microsoft Fabric. Design scalable, high-performance data architectures that support business intelligence and analytics. Collaborate with IT and engineering teams to ensure efficient data pipeline development.

3. Advanced Analytics & Machine Learning Identify and define use cases for advanced analytics that align with business objectives. Design and develop machine learning models to drive data-driven decision-making. Work with data scientists to operationalize ML models and ensure real-world applicability.

Required Qualifications:

• Proven experience as a Data Architect or similar role in data management and analytics. Strong knowledge of data governance frameworks, data quality management, and metadata management. Hands-on experience with Microsoft Fabric and data migration from legacy systems.
• Expertise in advanced analytics, machine learning models, and AI-driven insights. Familiarity with data modelling, ETL processes, and cloud-based data solutions (Azure, AWS, or GCP).

• Strong communication skills

  with the ability to translate complex data concepts into business insights.

Preferred candidate profile

Immediate Joiner