Senior Data Architect

Litera•Denver, CO

20h•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