Data Architect - Azure - Insurance

JSS Search; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Architect to drive the design and optimization of data architecture and data lakehouse solutions. This pivotal role involves leading cloud-based ETL processes, ensuring data quality and security, and mentoring junior engineers. You will collaborate with stakeholders to translate business requirements into technical solutions while staying abreast of emerging technologies. If you are passionate about data architecture and eager to make a significant impact in the insurance sector, this opportunity is perfect for you.

Qualifications

• Experience in Data Architecture, Modeling, and Management.
• Proven experience as a Data Architect with cloud platforms.

Responsibilities

• Design and develop scalable data architectures for cloud environments.
• Lead the implementation of ETL processes for efficient data handling.

Skills

Data Architecture

ETL Processes

Cloud Platforms (Azure)

Data Modeling

Database Systems (MS SQL, MongoDB)

Problem-Solving

Communication Skills

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Data Factory

Data Lakes

Data Bricks

Collibra

Hadoop

Spark

Job description

Get AI-powered advice on this job and access more exclusive features.

Direct message the job poster via JSS Search.

Position Overview:

As a Senior Data Architect, you will be responsible for designing, implementing, and optimizing our data architecture and data lakehouse to support cloud-based ETL processes and digital transformation projects.

Key Responsibilities:

1. Design and develop scalable data architectures for cloud environments.
2. Lead the implementation of ETL processes to ensure efficient data extraction, transformation, and loading.
3. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
4. Ensure data quality, integrity, and security across all platforms.
5. Optimize data storage and retrieval for performance and scalability.
6. Provide guidance and mentorship to junior data engineers and developers.
7. Stay updated with emerging technologies and industry trends for continuous improvement.
8. Maintain documentation for data architecture, processes, and best practices.

Key Requirements:

• Experience in Data Architecture, Modeling, and Management.
• Bachelor's or Master's degree in Computer Science, IT, or related fields.
• Proven experience as a Data Architect, especially with cloud platforms (Azure), Data Factory, Data Lakes, Data Bricks, and ETL processes.
• Experience with database systems like MS SQL, Cosmos DB, MongoDB, PostgreSQL, and strong DML/DQL skills.
• Knowledge of Bulk and Event-Driven Data Analytics.
• Experience with Data Catalogue and Metadata Governance tools such as Collibra.
• Familiarity with data modeling, governance, and security best practices.
• Excellent problem-solving and communication skills, with the ability to work in fast-paced, collaborative environments.

Preferred Skills:

• Experience with big data technologies like Hadoop and Spark.
• Knowledge of machine learning and AI integration with data architectures.
• Certifications in cloud platforms or data management.

Additional Details:

• Seniority Level: Mid-Senior
• Employment Type: Full-time
• Job Function: Information Technology
• Industry: Insurance