
Senior Cloud Data Architect
2 days ago
Job Description:
We are seeking a seasoned Senior Cloud Data Architect to spearhead the design, development, and optimization of our data ingestion, transformation, and governance frameworks. This role will play a pivotal part in building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.
This senior-level position requires deep expertise in cloud-native data engineering, primarily on Microsoft Azure, with familiarity with AWS and GCP. The ideal candidate will have strong leadership skills, excellent communication abilities, and a proven track record of delivering high-impact projects.
The successful candidate will be responsible for designing and implementing robust, secure, and scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub, and Azure Functions. They will also develop and maintain ETL/ELT processes for structured and unstructured data, implement Change Data Capture (CDC), streaming pipelines, and batch ingestion, and work with AWS Glue, S3, Redshift, or GCP BigQuery, Dataflow as needed.
Key Responsibilities:
- Designing and implementing scalable, robust, and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub, and Azure Functions.
- Developing and maintaining ETL/ELT processes for structured and unstructured data.
- Implementing Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Working with AWS Glue, S3, Redshift, or GCP BigQuery, Dataflow as needed.
- Optimizing performance and cost across data workloads and cloud environments.
- Establishing and maintaining data quality frameworks, observability tools, and monitoring dashboards.
- Defining and enforcing data rules, validations, anomaly detection, and reconciliation.
- Implementing data lineage and metadata tracking using Azure Purview.
- Driving adoption of data cataloguing, profiling, and classification tools.
- Collaborating with data stewards and compliance teams to ensure governance alignment.
- Implementing role-based access control (RBAC), data masking, encryption, and tokenization.
Required Skills and Qualifications:
- 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, 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.
- 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.
Benefits:
The successful candidate will have the opportunity to work with a talented team of professionals, contribute to cutting-edge projects, and enjoy a comprehensive benefits package.
Others:
Please note that this job description may be subject to change based on business needs. We are an equal opportunities employer and welcome applications from all qualified candidates.
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