Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect on a contract basis in London, offering a hybrid working model. Key skills include Snowflake, SQL, Python, and cloud platforms (AWS, Azure, GCP). Proven experience in data architecture and governance is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Airflow #Synapse #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Looker #Data Orchestration #S3 (Amazon Simple Storage Service) #Cloud #ML (Machine Learning) #Visualization #Delta Lake #Redshift #Data Modeling #Automation #BI (Business Intelligence) #Observability #Data Lake #Scripting #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Snowflake #Version Control #BigQuery #SQL (Structured Query Language) #GIT #Python #Compliance #Data Governance #Lambda (AWS Lambda) #Data Quality #Tableau #Scala #Data Engineering #Metadata #Data Architecture #Azure #Data Management #Data Science #dbt (data build tool) #Microsoft Power BI #Security #GCP (Google Cloud Platform)
Role description
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.
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.
