Data Architect Professional

Job Description

Looking for a skilled Data Architect for a leading MNC. The ideal candidate will be responsible for designing, developing, and optimizing scalable data architectures and data platforms to support business intelligence, analytics, and data-driven decision-making. The role requires expertise in modern data engineering technologies, cloud-based data solutions, and big data frameworks.

Key Responsibilities
Design and implement scalable enterprise data architectures and data models.
Build and maintain robust data pipelines for large-scale data processing.
Develop and optimize solutions using Databricks, PySpark, and Delta Lake.
Collaborate with business stakeholders, data engineers, and analytics teams to understand data requirements.
Ensure data quality, governance, security, and compliance standards are maintained.
Optimize SQL queries and database performance for analytical workloads.
Support data migration, integration, and modernization initiatives.
Provide technical guidance and best practices for data architecture and engineering teams.
Required Skills
Strong experience in Data Architecture and Data Modeling.
Expertise in SQL and database design.
Hands-on experience with Databricks.
Strong knowledge of Delta Lake architecture and implementation.
Proficiency in PySpark and Python.
Experience with large-scale data processing and ETL/ELT frameworks.
Understanding of cloud-based data platforms and modern data ecosystems.