At a Glance
- Tasks: Own and optimise our Snowflake environment while leading dbt projects for actionable insights.
- Company: Join Branch, a dynamic tech company trusted by major brands like Sephora and NBCUniversal.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate globally and thrive in a culture that values innovation and accountability.
- Why this job: Make a real impact in a fast-paced environment while shaping the future of customer growth.
- Qualifications: 5-7 years in Data Analytics Architecture, with expertise in Snowflake and dbt.
The predicted salary is between 60000 - 80000 £ per year.
At Branch, we power every touchpoint with links that work and insights that prove it. From click to conversion, we make growth measurable. Our unparalleled attribution, backed by AI-enhanced linking, is trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. We bring the same rigor to how we build our team, by empowering our people to move fast, own outcomes, and build something that matters.
Our culture values smart, humble, and collaborative teammates who take accountability and drive results in an environment where their work truly moves the business forward. We are innovative, scaling with purpose, and led by seasoned leaders who know how to build enduring companies. Trusted by brands like Instacart, Western Union, NBCUniversal, ZocDoc, and Sephora, we’re big enough to matter, small enough for you to make a real impact. If you’re excited by the grit of building, rapid learning, and shaping the future of customer growth, you’ll find your place here.
Role Details
We’re looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures.
As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency. To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment.
You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.
Responsibilities
- Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
- Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
- Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
- Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
- Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
- Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.
Fit
- 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
- Mastery of Snowflake architecture, administration, and performance optimization.
- Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
- Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
- Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
- Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
- Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
- Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.
Benefits
The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter. Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
(Fixed-term) Data Analytics Architect in London employer: Madrona Venture Labs
At Fyxer, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership and drive meaningful change. As a Senior Customer Success Manager in our London office, you'll not only have the opportunity to shape our customer success strategy but also enjoy competitive compensation, equity options, and a collaborative environment that values your insights and contributions. With a focus on professional growth and the chance to work with high-potential clients, Fyxer is an excellent employer for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land (Fixed-term) Data Analytics Architect in London
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We think you need these skills to ace (Fixed-term) Data Analytics Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Madrona Venture Labs, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Madrona Venture Labs, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Madrona Venture Labs
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Madrona Venture Labs.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Madrona Venture Labs.
✨Prepare a Portfolio of Your Work
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