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- Tasks: Lead the design and implementation of scalable data solutions using Snowflake, SQL, and Python.
- Company: Join a dynamic data team in the heart of London, driving innovation in data architecture.
- Benefits: Enjoy a hybrid working model with flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of advanced analytics and machine learning initiatives while collaborating with diverse teams.
- Qualifications: Experience as a Data Architect or Senior Data Engineer with strong skills in cloud platforms and data governance.
- Other info: Opportunity to work with cutting-edge technologies and contribute to impactful data projects.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Contract Type: Contract
Working Model: Hybrid
Overview:
We are seeking an experienced Data Architect to join our growing data team and lead the design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake, SQL, Python, and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business.
Key Responsibilities:
- Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud platforms (AWS, Azure, or GCP).
- Develop and optimize scalable ELT/ETL processes using SQL and Python.
- Define data governance, metadata management, and security best practices.
- Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions.
- Oversee data quality, lineage, and observability initiatives.
- Recommend and implement performance tuning for large-scale data sets.
- Ensure platform scalability, cost-efficiency, and system reliability.
Required Skills & Experience:
- Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms.
- Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing.
- Proficiency in SQL for complex querying, optimization, and stored procedures.
- Strong coding skills in Python for data transformation, scripting, and automation.
- Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda), Azure (e.g., Data Factory, Synapse), or GCP (e.g., BigQuery, Cloud Functions).
- Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git).
- Solid understanding of data governance, security, and compliance frameworks.
Nice to Have:
- Experience with data lake architectures (Delta Lake, Lakehouse).
- Familiarity with BI/visualization tools (Tableau, Power BI, Looker).
- Knowledge of streaming data tools (Kafka, Kinesis).
- Background in supporting ML/AI pipelines or data science environments.
Data Architect (City of London) employer: Levy Search
Contact Detail:
Levy Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (City of London)
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with Snowflake and cloud platforms. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your hands-on experience with relevant tools and technologies during informal conversations or networking events. Be prepared to discuss specific projects where you've implemented scalable data solutions using SQL, Python, or cloud services.
✨Tip Number 3
Familiarise yourself with the latest best practices in data governance and security. Being able to discuss these topics confidently can set you apart from other candidates and demonstrate your commitment to maintaining high standards in data management.
✨Tip Number 4
Consider contributing to open-source projects or writing articles about data architecture. This not only enhances your skills but also builds your reputation in the community, making you a more attractive candidate for the role.
We think you need these skills to ace Data Architect (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Architect or Senior Data Engineer. Focus on your hands-on experience with Snowflake, SQL, and Python, and mention any cloud platforms you've worked with, such as AWS, Azure, or GCP.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data architecture and how your skills align with the company's needs. Mention specific projects where you've designed scalable data solutions and your familiarity with data governance and security best practices.
Showcase Technical Skills: Be sure to include specific examples of your technical skills in your application. Highlight your proficiency in SQL for complex querying and your coding skills in Python for data transformation. If you have experience with data orchestration tools or BI/visualization tools, mention those too.
Demonstrate Collaboration Experience: Since the role involves collaboration with various stakeholders, provide examples of how you've worked with data engineers, analysts, and product managers in the past. This will show that you can effectively translate data needs into architectural solutions.
How to prepare for a job interview at Levy Search
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Snowflake, SQL, and Python. Bring examples of past projects where you designed data architectures or optimised ETL processes, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company’s Data Needs
Research the company’s current data initiatives and challenges. This will allow you to tailor your responses and show how your skills can directly address their specific needs, making you a more attractive candidate.
✨Discuss Data Governance and Security
Since data governance and security are crucial for this role, be ready to talk about your experience in these areas. Highlight any frameworks or best practices you've implemented in previous roles to ensure data integrity and compliance.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask the interviewers about their data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
