Full-Time

Data Architect

Multiple Teams

Posted on 8/21/2026

Datamatics Technologies

Datamatics Technologies

No salary listed

Chennai, Tamil Nadu, India

In Person

Category
Data & Analytics (1)
Required Skills
Power BI
Data Lake
Microsoft Azure
Python
Apache Spark
SQL
Machine Learning
ETL
Data Modeling
Data Governance
Databricks
Snowflake
Requirements
  • At least 7 years of experience as a Data Architect.
  • Proven experience designing enterprise-scale data solutions.
  • Experience working with cloud-based data platforms, preferably Microsoft Azure.
  • Hands-on experience with at least one of Informatica IDMC, Microsoft Fabric with Purview, or Databricks.
  • Expertise in enterprise data architecture, conceptual, logical, and physical data modeling, data governance, metadata management, data lineage, data quality management, Master Data Management, Data Lake architecture, Data Warehouse architecture, Lakehouse architecture, data integration, and SQL.
Responsibilities
  • Design and implement enterprise-wide data architecture aligned with business and technology strategies.
  • Develop and maintain conceptual, logical, and physical data models.
  • Define and implement data governance frameworks, standards, and best practices.
  • Establish metadata management, data lineage, and data quality processes.
  • Architect scalable Data Lake, Data Warehouse, and Lakehouse solutions.
  • Lead data integration and ETL/ELT architecture initiatives.
  • Collaborate with business stakeholders, data engineers, analysts, and governance teams.
  • Evaluate and recommend data platform technologies and architectural standards.
  • Support Master Data Management initiatives across the enterprise.
  • Ensure data platforms meet security, compliance, scalability, and performance requirements.
Desired Qualifications
  • Experience with Microsoft Purview, Azure Data Factory, Azure Synapse Analytics, Snowflake, Power BI, Informatica Data Governance & Catalog, Informatica MDM, Unity Catalog, Python, and PySpark.
  • Knowledge of AI/ML data platforms, enterprise data strategy, and data management frameworks.
  • Microsoft Azure, Databricks, Informatica, TOGAF, or CDMP certifications.
  • Knowledge of TOGAF, DAMA-DMBOK, and other data and enterprise architecture frameworks.
Datamatics Technologies

Datamatics Technologies

View

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A