
Chief Data Architect
2 days ago
About the Role
We are seeking a seasoned Data Engineering Expert to join our team. As a pivotal member, you will design, develop, and optimize data ingestion, transformation, and governance frameworks to enable real-time and batch data analytics across our platform.
Key Responsibilities:
- Design and implement scalable, robust, and secure data pipelines using cloud-native tools.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Work with various cloud platforms, including AWS and GCP, as needed.
- Optimize performance and cost across data workloads and cloud environments.
- Establish and maintain data quality frameworks, observability tools, and monitoring dashboards.
- Define and enforce data rules, validations, anomaly detection, and reconciliation.
- Implement data lineage and metadata tracking using Azure Purview.
- 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.
Qualifications & Experience:
- 4+ years in data engineering with at least 2+ years on cloud platforms.
- Hands-on experience with cloud-native tools and technologies.
- Proficiency in programming languages such as Python and SQL.
- Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture.
- Familiarity with big data processing systems and data warehousing solutions.
- Experience with data versioning and GitOps for data.
- Working knowledge of data observability, lineage, cataloguing, data quality.
- Exposure to privacy-enhancing techniques, access control, security auditing.
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