
Cloud Engineer with Scalable Data Solutions
15 hours ago
- We are seeking a highly skilled Senior Data Architect to lead the design, development, and optimization of our data engineering architecture.
- The ideal candidate will have a deep understanding of cloud-native data engineering on Microsoft Azure, and experience with AWS and GCP.
- They will be responsible for building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.
- Additionally, they will establish and maintain data quality frameworks, observability tools, and monitoring dashboards, define and enforce data rules, validations, anomaly detection, and reconciliation.
- They will drive adoption of data cataloguing, profiling, and classification tools, collaborate with data stewards and compliance teams to ensure governance alignment, and implement role-based access control (RBAC), data masking, encryption, and tokenization.
Required Skills:
- 4+ years in data engineering with at least 2+ years on Azure cloud platform
- Hands-on with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, 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
- 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
- Exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection, and schema change detection
- Exposure to GenAI or agentic AI to Automate data cataloguing and metadata enrichment etc.
- Experience with NLP or LLMs in metadata extraction or data classification is a plus
Personal Attributes/Traits:
- Consultative
- Socially confident
- Achievement oriented
- Decisive and action oriented
- Creative
- Eager to learn
- Resilient
Competencies:
- Business Foresight
- Influencing Others
- Fostering Partnerships With Customers
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