Senior Data Architect

LiteraDenver, CO
Hybrid

About The Position

Ready to Help Shape the Future of Legal Tech?! At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar™️ for what’s possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you’re energized by scale, real impact, and meaningful challenges, you’ll feel right at home here.

Requirements

  • 8+ years of experience in data architecture or data engineering, including building production-grade cloud SaaS data platforms
  • Strong hands-on experience with Azure data services (e.g., Synapse, Data Lake, Cosmos DB, Service Bus)
  • Ability to produce clear, well-structured data architecture documentation and clearly communicate technical trade-offs to both technical and non-technical stakeholders.
  • Proven expertise in data modeling, ETL/ELT pipeline design, event-driven data architectures and distributed data processing architectures
  • Solid understanding of data security and governance, including encryption, RBAC, and multi-tenant data architectures
  • Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred)

Nice To Haves

  • Experience supporting analytics and AI/ML platforms, including data foundations for LLM or advanced analytics use cases
  • Familiarity with Snowflake or similar enterprise cloud data warehousing platforms
  • Hands-on experience with distributed processing frameworks such as Spark or Databricks
  • Exposure to data quality frameworks, validation tooling, and observability practices
  • Background in legal tech, regulated SaaS, or highly compliance-driven enterprise platforms

Responsibilities

  • Define and evolve enterprise data architecture standards, translating business and product requirements into scalable, cloud-native designs
  • Design and oversee cloud data platforms, including data lakes, warehouses, and distributed processing systems to support analytical and operational workloads
  • Architect reliable ETL/ELT and event-driven data pipelines, ensuring data quality, lineage, scalability, and fault tolerance
  • Partner with product, engineering, AI, and security teams to enable analytics, reporting, and AI-driven capabilities
  • Design data models across relational, NoSQL, and analytical platforms optimized for performance, scalability, and schema evolution
  • Lead data governance, security, and compliance architecture, including encryption, access controls, and regulatory requirements (e.g., GDPR, SOC 2)
  • Provide technical leadership and mentorship to data engineers, reviewing designs and elevating architectural best practices
  • Document architectural decisions, data flows, and standards to ensure clarity, consistency, and long-term maintainability

Benefits

  • medical
  • dental
  • vision coverage
  • 401(k) with company match
  • incentive and recognition programs
  • company bonus plan
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