Job Overview

Join Ensono as a Data Architect to help shape a predictive, zero‑touch operating system across mainframe, distributed, and cloud environments. Ensono is evolving into a software‑first Managed Services Provider powered by the Envision Operating System, and this role will define the data foundation that enables AI/ML, automation, and analytics at scale.

Ensono’s purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We empower clients to achieve key business outcomes, and we do it with cross‑platform certifications, continuous innovation and a culture built on honesty, reliability, curiosity, collaboration and passion.

Responsibilities

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

Qualifications

• 8+ 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.

Why Ensono

Ensono is a place to make better happen – for our clients and for your career. You can innovate, collaborate, learn, volunteer and promote diversity and inclusion. We encourage remote work most of the time, so you can choose to work from home or in our Ensono offices.

Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Engineering and Information Technology | Industries: IT Services and IT Consulting