Data Architect

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. Honesty – Reliability – Curiosity – Collaboration – Passion Job Description At Ensono, we’re evolving into a software-first Managed Services Provider, powered by the Envision Operating System. To deliver predictive, zero-touch operations across mainframe, distributed, and cloud environments, we need a Data Architect to define the data foundation that enables AI/ML, automation, and analytics at scale. The Data Architect will own the blueprint for data flow, governance, and integration across ServiceNow, Snowflake, operational telemetry, and customer systems. You’ll partner closely with Data Engineers, Data Scientists, ML Engineers, and MLOps to ensure all models and applications are built on reliable, standardized, and scalable data pipelines. This role is equal parts strategic designer and practical enabler: setting standards and guardrails while ensuring projects can move fast and deliver measurable business outcomes. What You Will Do: 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. Futureproofing – Continuously evaluate new tools, frameworks, and patterns to evolve the architecture in step with AI/ML and automation growth. What You Will Need: 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. Why Ensono Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices.