Principal Enterprise Data Architect jobs in United States
cer-icon
Apply on Employer Site
company-logo

Smarsh · 4 hours ago

Principal Enterprise Data Architect

Smarsh is a company that empowers its customers to manage risk and unleash intelligence in their digital communications. They are seeking a highly experienced enterprise data architect to own and drive the company’s data architecture, data model, master data governance, and analytics platform.

EdiscoveryEnterprise SoftwareSaaS
check
H1B Sponsor Likelynote

Responsibilities

Define, maintain and evolve the Enterprise Data Model and entity-relationship architecture across all business systems: CRM/ERP (Salesforce), ERP (NetSuite), Atlassian tools (Jira/Confluence), proprietary product telemetry/usage data, as well as 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 establishing '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, 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, NetSuite, product telemetry, Atlassian), IT, data engineering, finance, sales, operations and product leadership to ensure alignment of 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

Qualification

Data architectureSnowflakeMaster data managementAnalytics leadershipAI/SQL toolsData governanceData quality frameworksStakeholder managementData visualizationCompliance knowledgeCommunication skillsTeam leadership

Required

10-15+ years' experience in data architecture / enterprise data management roles (in mid-to large organizations)
Proven experience working in a SaaS software company (ideally ~$200M-$1B 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, finance, operations)
Hands-on and strategic experience with data lake / data warehouse platforms—experience with Snowflake is strongly required
Experience ingesting and integrating data from CRM systems (Salesforce), ERP systems (NetSuite), Atlassian tools (Jira/Confluence), and product telemetry / usage data systems
Strong experience in master data management (MDM) and governance, metadata management, data quality frameworks, data cataloging and data lineage
Expertise in analytics and visualization leadership: delivering enterprise reporting, dashboards, KPI frameworks, business partner engagement
Experience evaluating and deploying AI/SQL tools, augmented analytics and working with data science/AI teams to operationalize insights (experience with Cortex or comparable tools is a plus)
Excellent leadership, communication and stakeholder management skills: able to translate business needs into data architecture and analytics solutions and lead a team
A Bachelor's Degree in Computer Science, Information Systems, Data Science, or related field (Master's preferred) and relevant certifications (e.g., CDMP, TOGAF, or Snowflake certifications) are helpful
Strong understanding of security, compliance and data governance in enterprise contexts

Benefits

Any applicable bonus programs will be discussed during the recruiting process.

Company

Smarsh manage the risk and see the value in their communications data.

H1B Sponsorship

Smarsh has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (5)
2023 (13)
2022 (23)
2021 (2)
2020 (1)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
K1 Investment Management
2016-01-15Private Equity

Leadership Team

leader-logo
Vinay Mehta
Chief Technology Officer
linkedin
leader-logo
Ian Black
SVP Customer Success
linkedin
Company data provided by crunchbase