Jobs at 73 Strings

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define modeling and governance, build integrations and APIs, support implementations, ensure data quality, and advise on LLM/RAG and vector embedding infrastructure for financial services.

Lead enterprise data architecture, design cloud data warehouse/lakehouse solutions (Snowflake, Databricks), define data modeling and governance, build integrations/APIs and ETL/ELT pipelines, implement streaming and orchestration (Kafka, Flink, Spark, dbt, Airflow), support implementations and client engagements, and ensure data quality, security, and regulatory compliance.

Lead enterprise data architecture and platform strategy for a financial services data platform. Design and implement cloud data warehousing and lakehouse solutions (Snowflake, Databricks), data models, governance, and security. Architect integrations/APIs (REST, GraphQL), ETL/ELT pipelines, streaming systems (Kafka, Flink, Spark), orchestration (dbt, Airflow), vector DBs/embeddings and LLM/RAG-safe retrieval. Provide implementation and pre-sales technical leadership for client onboarding and regulatory compliance.

Client-facing Solutions Architect supporting pre-sales at a SaaS company: lead technical demos, design POC/demo environments, advise on technical solutions, respond to RFPs/RFIs, liaise with Implementation and Customer Success for onboarding, and mentor junior colleagues. Translate complex technical concepts for business and technical stakeholders and integrate emerging technologies to automate workflows.

Ensure reliability, scalability, and operational excellence of production systems. Lead incident management, define SLOs, troubleshoot production issues, support deployments, maintain observability, document runbooks, and collaborate with engineering and customers to raise reliability.

Lead and grow a team of 4–10 engineers, owning delivery, technical direction, architecture, and people development. Drive execution, reduce technical debt, champion engineering best practices (CI/CD, testing, observability), and integrate AI tooling into workflows while collaborating closely with Product and cross-functional stakeholders.

Provide expert product support and training for 73 Strings monitoring and valuation tools; troubleshoot and document client issues; manage multi-channel support, escalate to internal teams, and guide clients to success resources while collaborating across regions and working weekends.

Architect and build a greenfield backend microservice module using Java and Spring Boot. Design RESTful APIs, data models, and persistence with Hibernate and MySQL/Snowflake. Ensure production-grade security (Azure AD, WAF), containerize with Docker/Kubernetes on Azure, lead code reviews, mentor engineers, and manage delivery of product milestones.

Develop and own end-to-end UI and API automated test suites for a complex web and desktop app. Build test code (TypeScript, Java, C#), use frameworks (Playwright, Selenium, REST Assured), define test strategy, ensure test coverage, run performance tests, customize test frameworks, and collaborate with stakeholders in Agile environments.

Lead enterprise data architecture and cloud data platform strategy (Snowflake, Databricks). Design integrations, APIs, ETL/ELT and streaming pipelines (Kafka, Flink, Spark). Establish data modeling, governance, quality, observability, and embedding/vector DB infrastructure; support implementations, client engagements, and LLM/RAG-informed retrieval and lineage requirements.