Senior Data Engineer📣 Job Ad

About 73 Strings and the Senior Data Engineer Role

73 Strings is a platform that provides data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines middle-office processes for alternative investments, facilitating data structuring, standardization, monitoring, and fair value estimation. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure, and Private Credit. The company secured a $55M Series B funding round, led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, and continued support from Blackstone, Fidelity International Strategic Ventures, and Broadhaven Ventures.

We are seeking a Senior Data Engineer to join our team in Riyadh, Saudi Arabia. This is a full-time, high-impact role focused on shaping the future of our data platform within the financial services sector. The individual will own architectural direction, drive integration strategy, and serve as a technical advisor to both internal stakeholders and external clients.

Data Platform Leadership

• Define and evolve the enterprise data architecture strategy, ensuring scalability, reliability, and governance across the platform.
• 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.
• Establish data modeling standards, data quality frameworks, and best practices across engineering teams.
• Champion data governance, security, and compliance practices in alignment with financial industry regulations (*, SOC 2, GDPR, CCPA).

Integrations and API Development

• Partner with Product Management and business stakeholders to design and deliver robust data integrations and APIs (REST, GraphQL, ETL/ELT pipelines).
• Architect scalable, reusable integration patterns that connect internal systems, third-party platforms, and client data ecosystems.
• 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.

Client Engagement and Technical Advisory

• Act as the primary technical point of contact for strategic clients and prospects, building relationships with their senior engineering, data, and technology leadership.
• Lead client-facing architectural discussions, workshops, and design sessions to understand data challenges and present tailored solutions.
• Support pre-sales and implementation teams by providing architectural guidance, responding to technical due diligence requests, and contributing to RFPs and solution proposals.
• Translate client business and regulatory requirements into clear, implementable technical designs, communicating effectively across executive and engineering audiences.

Required Qualifications and Experience

• 8+ years of experience in data architecture or data engineering.
• Proven expertise in cloud data platforms such as Snowflake and Databricks, including data modeling, performance tuning, and cost optimization.
• Hands-on experience designing and building REST APIs and ETL/ELT pipelines at scale.
• 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.
• Experience integrating unstructured data (documents, PDFs, presentations) into a structured data platform, including extraction, normalization, and lineage back to source artifacts.
• Demonstrated ability to drive technical strategy and lead cross-functional projects.
• Working understanding of LLM and RAG architectures, including tenant-aware retrieval, context isolation, and the data quality and lineage prerequisites for safe deployment.
• Strong communication skills with the ability to translate complex technical concepts for executive and non-technical audiences.

Work Environment

73 Strings cultivates a culture of innovation and collaboration, empowering team members to take initiative, learn continuously, and thrive in a supportive environment where ideas are valued.