Lead Architect
Core
Architect and deliver large-scale, cloud-native data solutions on Azure and Snowflake for Fortune 500 clients, enabling advanced analytics and ML/AI workloads.
Role type
Lead Data Architect (Azure & AI)
Builds
Resilient, scalable data platforms, DataMarts, and Data Lakes supporting enterprise analytics and AI.
Domain
Insurance industry, Cloud Data Engineering
Required skills
Azure Data Services (ADF, Synapse, Databricks), Snowflake, PySpark, SQL, ETL/ELT pipeline design, Spark architecture, NoSQL integration, streaming data patterns, ML data preparation, DevOps/CI-CD (via careerplan.io/jobs/SR-42987-2-lead-architect-at-fractal)
Preferred skills
Elasticsearch/Azure Cognitive Search, Azure Data Engineer or SnowPro certifications, large enterprise data platforms
Technologies
Azure Data Factory, Databricks, Snowflake, Azure Synapse, PySpark, SQL, Cosmos DB, MongoDB, Kafka, Event Hub, Hadoop, Hive, Elasticsearch, Azure Cognitive Search, Azure DevOps, Jenkins
Responsibilities
Design and optimize end-to-end data pipelines; develop ETL/ELT workflows for structured and unstructured data; architect scalable Snowflake solutions; implement data quality frameworks and governance; optimize Spark workloads; integrate NoSQL stores and search technologies; drive DevOps best practices.
Seniority
Senior, hands-on IC