Principal Enterprise Data Architect

Principal Enterprise Data Architect

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Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6,500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh on the annual Inc. 5000

list of fastest‑growing American companies since 2008.

We are seeking a highly experienced enterprise data architect to own and drive our company’s data architecture, data model, master data governance and analytics platform. You will define the enterprise data model and entity relationships across our business systems (including COTS ERPs such as Salesforce, Net Suite and our proprietary telemetry/usage systems and internal software) and govern master data and enterprise metadata.

You will lead the architecture and implementation of our data lake/data‑warehouse environment (e.g., Snowflake) and be an expert in leveraging tools (including AI offerings such as Cortex or other advanced AI platforms). You will also own enterprise operational and financial reporting and analytics, leading a team to deliver high‑quality insights and visualizations to drive business decisions. This is a strategic role in a fast‑growing SaaS company (~$500 M revenue) and you will be a key leader for data‑driven growth.

• Define, maintain and evolve the Enterprise Data Model and entity‑relationship architecture across all business systems: CRM/ERP (Salesforce), ERP (Net Suite), Atlassian tools (Jira/Confluence), proprietary product telemetry/usage data, and other internal systems.
• Own master data governance: establish policies, standards, ownership/responsibility, definitions, data quality metrics, and lifecycle management for master entities (e.g., Customer, Account, Product, Usage, Finance, Vendor, Employee) and establish golden data.
• Lead and manage the data lake/data‑warehouse architecture, with primary platform Snowflake and supporting data‑ingestion/ETL/ELT pipelines, streaming usage data, telemetry, business system feeds, and operational/financial data.
• Stay on the cutting‑edge of AI, SQL and analytics: evaluate and adopt AI‑SQL tools (e.g., Cortex or similar), support augmented analytics, facilitate self‑service data/analytics for business users, and embed AI/workbench capabilities into the data platform.
• Own and lead a team responsible for enterprise operational and financial reporting & analytics: define KPIs, build dashboards, develop visualization strategy (e.g., Power BI, Tableau, Looker), ensure data accuracy, timeliness and scalability.
• Partner cross‑functionally with business systems owners (Salesforce, Net Suite, product telemetry, Atlassian), IT, data engineering, finance, sales, operations and product leadership to align data strategy with business strategy.
• Enforce data governance, metadata management, data lineage, usage tracking, data cataloging, and ensure compliance with applicable standards/regulations (e.g., GDPR, CCPA, SOX where applicable).
• Define and monitor data quality, data security, access controls, and ensure platform scalability, performance and reliability.
• Provide thought leadership on data architecture best practices, mentor senior data & analytics engineers, promote a data‑driven culture across the company.
• Develop roadmaps for data architecture, analytics platform evolution, cost control and performance optimization.

• 10‑15+ years’ experience in data architecture / enterprise data management roles (mid‑to‑large organizations).
• Proven experience in a SaaS software company (ideally ~$200 M‑$1 B revenue) or similar high‑growth technology company.
• Deep experience architecting enterprise data models and entity‑relationship designs across multiple systems and domains (customer, product, usage/telemetry,…