We are looking for an experienced Data Architect to design and implement scalable, secure, and high-performance data solutions. The ideal candidate will have expertise in data modeling, cloud data platforms, data warehousing, and modern data architectures, enabling analytics, reporting, and AI/ML initiatives.
Key Responsibilities
- Design enterprise data architecture, data models, and database solutions.
- Architect Data Lakes, Data Warehouses, and Lakehouse platforms.
- Define data integration, governance, security, and quality standards.
- Collaborate with Data Engineers to build scalable ETL/ELT pipelines.
- Evaluate and recommend cloud data technologies and architecture best practices.
- Ensure data scalability, performance, reliability, and compliance.
- Provide technical leadership and mentor engineering teams.
Required Skills
- 6–10 years of experience in Data Engineering, Data Architecture, or related roles.
- Strong expertise in data modeling and database design.
- Experience with SQL and relational/NoSQL databases.
- Hands-on experience with AWS, Azure, or GCP.
- Experience with Data Warehousing, Data Lakes, and ETL/ELT frameworks.
- Knowledge of Snowflake, Databricks, Redshift, Synapse, or BigQuery.
- Familiarity with Apache Spark and data governance principles.
- Excellent problem-solving and stakeholder management skills.