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Senior Data Architect
2 weeks ago
Job Overview
We are seeking a highly skilled data engineer to lead the design, optimisation, and scaling of our Snowflake data warehouse and pipelines. The ideal candidate will have a strong background in building and maintaining large-scale data systems, with expertise in Snowflake, DBT, AWS, and SQL.
Key ResponsibilitiesDesign and Optimise Data Infrastructure:
Create scalable and secure data warehouses using Snowflake and DBT transformations.
Develop ETL/ELT Pipelines:
Build robust pipelines using Python, Airbyte, AWS DMS, and AWS services.
Implement Data Security Measures:
Implement data masking and security measures for safe data sharing.
Partner with Stakeholders:
Collaborate with analysts and product owners to translate business needs into data solutions.
Troubleshoot and Resolve Issues:
Troubleshoot pipeline issues and resolve production incidents.
Establish Best Practices:
Establish best practices for testing, CI/CD, and documentation.
Desired Skills and Qualifications
Required Skills:
5+ years' experience building and scaling data warehouses & pipelines.
Deep expertise with Snowflake, DBT, AWS, and strong SQL skills.
Proficient in Python for scripting and API integrations.
Skilled with ELT/ETL tools like Airbyte or AWS DMS.
Familiar with AWS services (Lambda, S3, IAM) and data security practices.
Experience in Power BI or other BI tools.
Additional Requirements:
Mentor-minded, collaborative, and passionate about data quality.
Strong communicator who can translate complex concepts for non-technical audiences.
Extra points if you have experience in Financial Services, Trading, or Banking.
Knowledge of risk-facing teams, LLMs, or data visualisation.
Familiarity with Docker and medallion architecture.