Data Architect

October 27

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Logo of Ensono

Ensono

Cloud Services • IT Services • Managed Services

Ensono is a managed service provider and expert technology advisor focused on enabling clients to navigate complex IT environments. Ensono offers services including mainframe-as-a-service, cloud migration, and IT infrastructure management, with a strong emphasis on modernizing legacy systems and optimizing IT operations. The company is recognized for its flexibility and allyship, providing businesses with the ability to adapt and evolve through solutions like Ensono Flex®. It specializes in both mainframe and cloud solutions, holding competency in AWS mainframe modernization and is a global Azure Expert MSP. Ensono acts as an ally, helping companies achieve better business outcomes through IT innovation and strategic technology advisement.

1001 - 5000 employees

📋 Description

• Define and maintain enterprise data architecture that supports AI/ML platforms, analytics, and operational reporting. • Establish and enforce standards for data modeling, integration, and governance across Snowflake, ServiceNow, and other core platforms. • Design how data is collected, processed, stored, and consumed across EnvisionOS and predictive services. • Partner with Data Engineering to ensure pipelines align with architecture principles, are efficient, and support multiple downstream consumers. • Work with ML Engineers and MLOps to design feature stores, model input/output schemas, and scalable serving architectures. • Ensure data is secured, governed, and compliant with enterprise standards while maintaining accessibility for innovation. • Drive architectural decisions that balance scalability, latency, and cost across global environments. • Continuously evaluate new tools, frameworks, and patterns to evolve the architecture in step with AI/ML and automation growth.

🎯 Requirements

• 8 plus years of proven experience as a Data Architect, Principal Data Engineer, or equivalent in enterprise-scale environments. • Expertise in Snowflake (or similar cloud data warehouses), SQL, and modern data lake/data mesh architectures. • Strong understanding of ServiceNow data models and IT operations datasets. • Hands-on background in ETL/ELT pipeline design and orchestration frameworks. • Familiarity with AI/ML data readiness concepts (feature engineering, feature stores, model-serving pipelines). • Deep knowledge of data governance, lineage, and compliance frameworks. • Proficiency in at least one programming language (Python, Java, or Scala). • Experience collaborating with ML, SWE, and Ops teams to ensure end-to-end usability of data assets.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work arrangements • Professional development

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