At a Glance
- Tasks: Own and optimise our Snowflake environment while leading dbt projects for data architecture.
- Company: Join a forward-thinking tech company focused on data-driven insights.
- Benefits: Competitive salary, equity options, health benefits, and flexible work arrangements.
- Other info: Collaborate globally and enjoy a dynamic work culture with growth opportunities.
- Why this job: Be the key player in transforming data analytics with cutting-edge AI tools.
- Qualifications: 5-7 years in Data Analytics Architecture, expertise in Snowflake and dbt required.
The predicted salary is between 80000 - 100000 € per year.
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.
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.
Qualifications
- 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.
Equal Opportunity Employer
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.
(Contractor) Data Analytics Architect employer: B Capital
At Branch, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across global teams. Our commitment to employee growth is evident through comprehensive benefits, including health and wellness programs, paid time off, and retirement planning options, ensuring our team members thrive both personally and professionally in the vibrant setting of Western Europe.
StudySmarter Expert Advice🤫
We think this is how you could land (Contractor) Data Analytics Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data analytics architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio of your past projects, especially those involving Snowflake and dbt. We want to see your work in action, so don’t be shy about sharing your successes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace (Contractor) Data Analytics Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Analytics Architect role. Highlight your Snowflake and dbt expertise, and don’t forget to mention any experience with AI tools like Claude Code!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share specific examples of how you've successfully managed data architectures and collaborated with global teams.
Showcase Your Technical Skills:We want to see your technical prowess! Include relevant projects or achievements that demonstrate your mastery of SQL, Python, and version control. If you’ve worked on complex dbt projects, make sure to highlight those too!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at B Capital
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in Snowflake architecture and administration. Brush up on performance tuning, RBAC security modelling, and cost optimisation. Being able to discuss these topics confidently will show that you can take full ownership of their Snowflake environment.
✨Master dbt Fundamentals
Familiarise yourself with dbt, especially if you have experience with macros, packages, and complex DAG management. Prepare to discuss how you would establish standards for modelling, testing, and CI/CD pipelines. This will demonstrate your capability to lead their dbt projects effectively.
✨Bridge the Communication Gap
Since this role involves acting as a technical point of contact between teams in different time zones, think about how you can facilitate seamless communication. Be ready to share examples of how you've successfully coordinated projects across distributed teams in the past.
✨Showcase Your AI Integration Skills
With a focus on operationalising AI tools like Claude Code, be prepared to discuss how you’ve integrated AI into your workflow before. Highlight any experiences where you automated tasks or improved efficiency using AI, as this will align perfectly with their goals.
