Senior Data Architect - Financial Services & Cloud Data

Reply; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading architecture consultancy in Greater London is looking for a seasoned Data Architect. This position requires a strong understanding of the financial services industry to design innovative data solutions that empower clients to leverage their data effectively. The ideal candidate should possess extensive expertise in data architecture principles, cloud-based solutions, and advanced analytics tools. Join a collaborative team that values proactive approaches and continuous innovation in data strategies.

Qualifications

• Strong understanding of cloud-based data solutions and experience with platforms.
• Proficiency in data modelling, both logical and physical.
• Demonstrated knowledge of the Financial Services Industry.
• Excellent communication skills for collaboration with cross-functional teams.
• Experience with Data Quality Rules and resolution processes.
• A proactive approach to staying updated with data architecture trends.

Responsibilities

• Design and implement innovative data architecture solutions.
• Collaborate with clients to assess their data needs.
• Translate business requirements into technical solutions.
• Ensure architecture aligns with business goals and regulatory compliance.

Skills

Financial Services understanding

Data architecture principles

Data warehousing solutions

Data modelling

Cloud-based data solutions

Advanced analytics tools

Data governance

Tools

AWS

Azure

Google Cloud

Snowflake

Job description

A leading architecture consultancy in Greater London is looking for a seasoned Data Architect. This position requires a strong understanding of the financial services industry to design innovative data solutions that empower clients to leverage their data effectively. The ideal candidate should possess extensive expertise in data architecture principles, cloud-based solutions, and advanced analytics tools. Join a collaborative team that values proactive approaches and continuous innovation in data strategies.