Jobs

Job Description

We are seeking experienced Data Architect to lead the design, governance, and implementation of large-scale enterprise data solutions. The ideal candidate will have hands-on expertise in Microsoft Fabric, Databricks, or Snowflake, and strong capabilities in data governance, metadata management, and analytics. This role requires the ability to engage with senior stakeholders, define strategic data use cases, and drive the adoption of modern data architectures and advanced analytics solutions.

Key Responsibilities

Data Governance & Management:

• Establish and maintain a Data Usage Hierarchy to enable structured access to enterprise data.

• Define and enforce data policies, standards, and governance frameworks to maintain data consistency and compliance.

• Implement Data Quality Management (DQM) practices to enhance data reliability and integrity.

• Oversee Metadata Management and Master Data Management (MDM) to enable unified data integration across platforms.

Data Architecture & Migration:

• Lead end-to-end data migration projects from legacy systems to Microsoft Fabric, Databricks, or Snowflake.

• Design scalable and high-performance data architectures that support business intelligence and real-time analytics.

• Collaborate with engineering and IT teams to define and implement robust data pipelines and ETL frameworks.

Advanced Analytics & Machine Learning:

• Identify and prioritize advanced analytics use cases aligned with business objectives.

• Design and develop machine learning models to derive actionable business insights.

• Collaborate with data scientists and business teams to operationalize ML models for real-world applications.

Required Qualifications

• Proven experience as a Data Architect or similar role with deep knowledge in data management, governance, and analytics.

• Hands-on expertise in at least one of: Microsoft Fabric, Databricks, or Snowflake (must-have).

• In-depth understanding of data governance frameworks, DQM, metadata management, and MDM.

• Experience designing and implementing machine learning models and AI-powered solutions.

• Proficiency with cloud platforms like Azure, AWS, or GCP and experience in data modeling and ETL development.

• Strong communication skills, with the ability to engage senior-level stakeholders and translate complex data concepts into actionable insights.

Preferred Qualifications

• Experience with enterprise-level data migration projects.

• Background in AI/ML model development in cloud environments.

• Familiarity with data visualization tools such as Power BI or Tableau.

• Knowledge of modern data pipeline orchestration tools (e.g., Azure Data Factory, Apache Airflow).

Soft Skills

• Strategic thinking and problem-solving abilities.

• Strong stakeholder management and interpersonal communication.

• Ability to work independently and as part of a cross-functional team.

• Curiosity and drive to stay updated with emerging data technologies.

Why Join Us?

• Be at the forefront of data transformation with platforms like Microsoft Fabric, Databricks, and Snowflake.

• Work in a hybrid model from our Bangalore office, offering flexibility and collaboration.

• Opportunity to interact with senior stakeholders and influence enterprise data strategies.

• Competitive compensation and career growth in a future-focused environment.