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Senior Data Engineer
73 Strings
Riyadh, KSA
Full Time
Senior
6 days ago
SnowflakeDatabricksREST API DesignETL/ELT PipelinesKafkaApache Spark
Free
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SnowflakeDatabricksREST API Design
About the Role
73 Strings is seeking a Senior Data Engineer to lead the data platform architecture for their AI-powered private capital solutions. The role involves designing cloud data warehousing solutions, building APIs and ETL pipelines, and engaging with clients.
Key Skills for This Role
SnowflakeDatabricksREST API DesignETL/ELT PipelinesKafkaApache Spark
Responsibilities
- Define and evolve the enterprise data architecture strategy, ensuring scalability, reliability, and governance
- Lead the design and implementation of cloud data warehousing and lakehouse solutions with Snowflake and Databricks
- 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
- Partner with Product Management and business stakeholders to design and deliver robust data integrations and APIs
- Architect scalable, reusable integration patterns connecting internal systems, third party platforms, and client data ecosystems
- Define API contracts, data schemas, and integration standards
- Act as primary technical point of contact for strategic clients and prospects
- Lead client facing architectural discussions, workshops, and design sessions
- Support pre sales and implementation teams by providing architectural guidance
Requirements
- 8+ years of experience in data architecture or data engineering
- Proven expertise in cloud data platforms such as Snowflake and Databricks
- 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
- Experience with major cloud platforms (AWS, Azure, or GCP)
- Proven experience with vector database or embedding infrastructure in production
- Experience integrating unstructured data into a structured data platform
- Demonstrated ability to drive technical strategy and lead cross functional projects
- Working understanding of LLM and RAG architectures
- Strong communication skills with ability to translate complex technical concepts
Full Job Posting
Overview of 73 Strings
- 73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry.
- The company's AI powered platform streamlines middle office processes for alternative investments.
- Our 2025 $55M Series B was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane.
About the Role
- 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.
- This is a high impact, hands on leadership role — you will own architectural direction, drive integration strategy, and act as a trusted technical advisor.
What You'll Do 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.
- 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 (e.g., SOC 2, GDPR, CCPA).
Integrations & 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 & Technical Advisory
- Act as the primary technical point of contact for strategic clients and prospects, building trusted relationships with their senior engineering, data, and technology leadership.
- Lead client facing architectural discussions, workshops, and design sessions to understand data challenges and present credible, 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.
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.
- 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.
- 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.
- 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 data quality prerequisites.
- Strong communication skills with the ability to translate complex technical concepts for executive and non technical audiences.
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