
Data Architect
1 week ago
We are seeking a skilled professional to fill the role of Data Architect.
The ideal candidate will possess expertise in designing and implementing scalable data pipelines, as well as experience with cloud-native data engineering.
This position plays a pivotal part in shaping our data infrastructure, enabling real-time and batch data analytics across our platform.
- Develop and maintain robust, secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other relevant tools.
- Implement efficient ETL/ELT processes for structured and unstructured data.
- Work closely with cross-functional teams to ensure seamless integration and optimal performance.
Key Responsibilities:
- Design and implement data quality frameworks, observability tools, and monitoring dashboards.
- Develop and enforce data rules, validations, anomaly detection, and reconciliation.
- Drive adoption of data cataloguing, profiling, and classification tools.
- Collaborate with data stewards and compliance teams to ensure governance alignment.
- Implement role-based access control (RBAC), data masking, encryption, and tokenization.
Requirements:
- 4+ years of experience in data engineering with at least 2+ years on Azure cloud platform.
- Hands-on experience with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, and Purview.
- Proficiency in SQL, PySpark, Python, and data orchestration tools.
- Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture.
- Familiarity with Snowflake, BigQuery, Redshift, or AWS Glue.
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