Data Architect - remote working

2 Days Old

Job Description Job Title: Data Architect
Location: London - 3 days travel to office
Job Type: Full-Time
We are seeking a highly experienced and visionary Data Architect to lead the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data models, data governance framework, and data integration patterns. This role requires a deep understanding of data warehousing principles, big data technologies, cloud computing (specifically Azure), and a strong grasp of data analysis concepts within the economic domain.
Extensive Data Architecture Knowledge: They possess a deep understanding of data architecture principles, including data modeling, data warehousing, data integration, and data governance.
Databricks Expertise: They have hands-on experience with the Databricks platform, including its various components such as Spark, Delta Lake, MLflow, and Databricks SQL. They are proficient in using Databricks for various data engineering and data science tasks.
Cloud Platform Proficiency: They are familiar with cloud platforms like AWS, Azure, or GCP, as Databricks operates within these environments. They understand cloud- data architectures and best practices.
Data Strategy & Vision:
Develop and articulate the overall data strategy for the economic data platform, aligning it with business objectives and strategic themes.
Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness.
Stay abreast of industry trends and emerging technologies in data management and analytics.
Data Modelling & Design:
Design and implement logical and physical data models that support the analytical and modelling requirements of the platform.
Define data dictionaries, data lineage, and metadata management processes.
Ensure data consistency, integrity, and quality across the platform.
Data Integration & Pipelines:
Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from diverse sources (e.g., APIs, databases, financial data providers).
Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment.
Ensure data is readily available for modelling runtimes (Python, R, MATLAB).
Data Governance & Quality:
Establish and enforce data governance policies, standards, and procedures.
Define data quality metrics and implement data quality monitoring processes.
Ensure compliance with relevant data privacy regulations and security standards.
Evaluate and recommend appropriate data management technologies and tools for the platform.
Work with vendors and partners to ensure successful implementation of chosen technologies.
Collaborate closely with data scientists, economists, business stakeholders, and other technical teams to understand their data needs and translate them into technical solutions.
Communicate data architecture concepts and designs effectively to both technical and non-technical audiences.
Mentor and guide other team members on data architecture best practices.
Data Security:
Work with security teams to ensure that data security policies and procedures are implemented and followed.
Define data access controls and ensure that sensitive data is protected.
10+ years of experience in data management, with at least 5+ years in a Data Architect role.
~ Deep understanding of data warehousing principles, data modelling techniques (e.g., dimensional modelling, data vault), and data integration patterns.
~ Extensive experience with big data technologies and cloud computing, specifically Azure (minimum 3+ years hands-on experience with Azure data services).
~ Microsoft Certified: Azure Data Engineer Associate
~ Microsoft Certified: Azure Data Scientist Associate
~ Data Engineer Associate or Professional
~ ML Engineer Associate or Professional
~ Experience in designing and implementing data governance frameworks and data quality processes.
~ Experience working with large datasets and complex data landscapes.
~ Familiarity with economic data and financial markets is highly desirable.
~ Experience with data visualisation tools (e.g., Tableau, Power BI).
~ Knowledge of data science and machine learning concepts.
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Apply
Location:
London
Job Type:
FullTime

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