At a Glance
- Tasks: Lead the design of innovative data solutions and drive integration strategies in financial services.
- Company: Join 73 Strings, a cutting-edge platform transforming private capital data management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Shape the future of data architecture and make a significant impact in the finance industry.
- Qualifications: 8+ years in data architecture, expertise in cloud platforms like Snowflake and Databricks.
The predicted salary is between 80000 - 100000 £ per year.
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, enabling seamless data structuring and standardisation, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.
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 to both internal stakeholders and external clients.
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, aligned with financial services data requirements.
- Establish data modelling 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.
- 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 onboarding.
- Engage with critical prospects and clients as needed, helping build trusted relationships with their senior technical stakeholders.
Requirements
- 8+ years of experience in data architecture or data engineering.
- Proven expertise in cloud data platforms such as Snowflake, Databricks, including data modelling, performance tuning, and cost optimisation.
- 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, normalisation, and lineage back to source artefacts.
- 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.
Senior Data Architect in City of Westminster employer: 73 Strings
At 73 Strings, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the financial services sector. Our dynamic work culture encourages professional growth through hands-on leadership opportunities and cutting-edge projects, particularly for roles like Senior Data Architect, where you can shape the future of our AI-powered data platform. Located in a vibrant industry hub, we offer competitive benefits and a supportive environment that values your contributions and promotes continuous learning.
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We think you need these skills to ace Senior Data Architect in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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