Senior Data Architect

3 weeks ago


London, Greater London, United Kingdom Annapurna Full time

About The Company:
We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk.

With a current focus on the small and medium-sized businesses that power our global economy and their niche insurance needs, they leverage granular information on each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk.


The Role:


Design and implement scalable data pipelines and models to ensure data quality, integrity, and accessibility.nLead the design, development, and optimization of data processing workflows to support analytics requirements.nCollaborate closely with product managers, business stakeholders, other architects, and engineers to understand data needs to design and deliver quality solutions.nSolve complex data challenges by utilizing optimal patterns, frameworks, and query techniques.nOptimize data pipelines, frameworks, and systems to streamline the development of data artifacts and enhance overall efficiency.nStay abreast of industry trends and best practices in data and analytics engineering, SQL, Python, Snowflake and DevOps, incorporating them into architectural designs.nActively participate and mentor others in design reviews, code reviews, and other engineering processes to ensure adherence to best practices and quality standards.nProvide technical leadership and guidance to analytics engineering teams within an agile framework, fostering a culture of excellence and continuous improvement.nDrive initiatives to enhance data governance, security, and compliance across analytics solutions.nAct as a subject matter expert on data and analytics engineering, advising stakeholders on technical solutions and strategies.


You will be successful if you have:


Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics or a related field.n8+ years experience in designing, building, and maintaining scalable data pipelines and processing workflows.nStrong proficiency in Python and SQL, with advanced problem-solving and data manipulation skills.nStrong proficiency with DevOps practices and tools for automating data pipeline deployment, monitoring, and management.nHands on experience of designing and building CI/CD pipelines and automation using GitHub Actions, Jenkins, Azure Pipelines or similar tools.nLeadership skills with the ability to inspire and mentor engineers, teaching them best practices and fostering a culture of continuous improvement within an agile framework.nExperience with dbt and Snowflake or other cloud based data warehouses.nExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.nDetail-oriented mindset with a commitment to delivering high-quality work in a dynamic environment.nStrong interpersonal skills and a collaborative approach to problem-solving.nAn appreciation of data modelling fundamentals.nKnowledge of popular unix based shell environments such as bash or zsh.

If you would like to have a chat about this exciting opportunity, apply below or reach out directly to

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