MathCo - Data Architect - Azure/Synapse Analytics

Job Description

As a Data Architect, you will design and implement scalable, cloud-native data solutions that handle petabyte-scale datasets. You will lead architecture discussions, build robust data pipelines, and work closely with cross-functional teams to deliver enterprise-grade data platforms. Your work will directly support analytics, AI/ML, and real-time data processing needs across global clients. Key Responsibilities Translate complex data and analytics requirements into scalable technical architectures. Design and implement cloud-native architectures for real-time and batch data processing. Build and maintain large-scale data pipelines and frameworks using modern orchestration tools (e.g., Airflow, Oozie). Define strategies for data modeling, integration, metadata management, and governance. Optimize data systems for cost-efficiency, performance, and scalability. Leverage cloud services (AWS, Azure, GCP) including Azure Synapse, AWS Redshift, BigQuery, etc. Implement data governance frameworks covering quality, lineage, cataloging, and access control. Work with modern big data technologies (e.g., Spark, Kafka, Databricks, Snowflake, Hadoop). Collaborate with data engineers, analysts, DevOps, and business stakeholders. Evaluate and adopt emerging technologies to improve data architecture. Provide architectural guidance in cloud migration and modernization projects. Lead and mentor engineering teams and provide technical thought Skills and Experience : Bachelor's or Masters in Computer Science, Engineering, or related field. 10+ years of experience in data architecture, engineering, or platform roles. 5+ years of experience with cloud data platforms (Azure, AWS, or GCP). Proven experience building scalable enterprise data platforms (data lakes/warehouses). Strong expertise in distributed computing, data modeling, and pipeline optimization. Proficiency in SQL and NoSQL databases (e.g., Snowflake, SQL Server, Cosmos DB, DynamoDB). Experience with data integration tools like Azure Data Factory, Talend, or Informatica. Hands-on experience with real-time streaming technologies (Kafka, Kinesis, Event Hub). Expertise in scripting/programming languages such as Python, Spark, Java, or Scala. Deep understanding of data governance, security, and regulatory compliance (GDPR, HIPAA, CCPA). Strong communication, presentation, and stakeholder management skills. Ability to lead multiple projects simultaneously in an agile environment. (ref:hirist.tech) Show more Show less