73 Strings
Senior Data Architect
Toronto, North America, CA · Senior
Sponsorship not specifiedDetected 44 days ago
SnowflakeDatabricksVector DatabasesAWSGCPAzureCloud PlatformsAPI DevelopmentGraphQLRESTKafkadbtData EngineeringLLMsRAGComplianceValuationLeadershipCommunicationPublic Speaking
About the role
- Data Platform Leadership Define and evolve the enterprise data architecture strategy, ensuring scalability, reliability, and governance across the platform.
- Champion data governance, security, and compliance practices in alignment with financial industry regulations (e.g., SOC 2, GDPR, CCPA).
Responsibilities
- Lead the design and implementation of cloud data warehousing and lakehouse solutions, with a focus on Snowflake and Databricks, aligned with financial services data requirements.
- Integrations & API Development Partner with Product Management and business stakeholders to design and deliver robust data integrations and APIs (REST, GraphQL, ETL/ELT pipelines).
- Define API contracts, data schemas, and integration standards that support both internal development teams and external partners.
- Translate complex business and regulatory requirements into sound, implementable technical designs.
- Implementation Support Serve as a technical expert and Engineering partner to pre-sales and implementation teams providing architectural guidance where needed to ensure successful client on boarding Engage with critical prospects and clients as needed, helping build trusted relationships with their senior technical stakeholders.
- This is a high-impact, hands-on leadership role - you will own architectural direction, drive integration strategy, and act as a trusted technical advisor to both internal stakeholders and external clients.
Requirements
- 8+ years of experience in data architecture or data engineering.
- Proven expertise in cloud data platforms such as Snowflake, Databricks, including data modeling, performance tuning, and cost optimization.
- Strong proficiency with real-time and streaming data platforms such as Kafka, Flink, and Spark.
- Hands-on experience with modern data orchestration and transformation tools such as dbt and Apache Airflow.
- Experience with data testing frameworks, pipeline observability, and monitoring practices that ensure data quality, reliability, and operational visibility in production environments.
- Experience with major cloud platforms (AWS, Azure, or GCP), including cloud-native data services, networking, and security.
- Proven experience with vector database or embedding infrastructure in production.
- Strong communication skills with the ability to translate complex technical concepts for executive and non-technical audiences.
Skills
- Establish data modeling standards, data quality frameworks, and best practices across engineering teams.
Benefits
- 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.
Company info
- We are seeking a Senior Data Architect to serve as a technical lead shaping the future of our data platform in the financial services space.
- The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button.
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