Application Data Architect

  • Full-time
  • Contract Type: Permanent contract

Company Description

Talan is an international consulting group in innovation and transformation through technology. For 20 years, Talan has been advising companies and administrations. The group supports them and implements their transformation and innovation projects internationally.

Present on five continents, our group achieved a turnover of 600 million euros in 2023 for more than 4,500 consultants and aims to exceed the one billion € turnover mark by 2025. The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain, or IoT.

Job Description

Are you looking to join a company at the forefront of innovation and transformation? Look no further than Talan!

We are seeking a talented Application Data Architect to join our team and work on IT projects for our client's trading desk. The ideal candidate will have expertise in Data Architecture.

As a member of our team, you will have the opportunity to work on cutting-edge technology and collaborate with a dynamic group of professionals who are dedicated to excellence. You will have the chance to contribute to the development of our Finance engineering team and grow your career in a stimulating environment.

If you are a skilled Data Architect with a passion for finance and technology, we encourage you to apply for this exciting opportunity. Join us and take your career to the next level!

Role and responsibilities

Your primary role will be to design data models, data destination solutions, and data integration. You are responsible for creating and implementing the blueprint for data infrastructure.

  • Data Architecture and Integration:

    • Design and manage data architectures using Azure, AWS, and SQL Server.
    • Integrate and migrate data across cloud and on-premises systems.
    • Utilize message bus, REST APIs, and other integration methods.
  • Data Management:

    • Develop scalable and secure data models, databases, and warehouses.
    • Specialize in timeseries data for large dataset management.
    • Optimize database performance and implement best practices.
  • Security and Compliance:

    • Ensure data security with encryption and access controls.
    • Maintain compliance with regulatory standards.
  • Collaboration and Documentation:

    • Collaborate with cross-functional teams to understand and meet data requirements.
    • Document data architectures and management processes comprehensively.

Qualifications

  • Bachelor degree in Computer science, Engineering, Finance, or Quantitative Finance
  • 6+ years of relevant experience 
  • Vast experience in data extraction and collection from websites, APIs, databases, and cloud platforms (AWS S3, Azure, Snowflake).
  • Designing and architecting databases for performance, expansion, and flexibility.
  • Heavy experience building complex user interfaces using JavaScript, React, or Angular with grid controls such as AG Grid or other similar grid controls.
  • Deep knowledge of C#/.NET, Python, and R with the ability to learn new languages.
  • Experience utilizing Azure and AWS cloud functions such as AWS Lambda.
  • Working knowledge of ISO markets preferred, specifically storage operations in ERCOT and CAISO.

The salary range for this role is US$100,000 - US$140,000

Company’s Benefits

At Talan, we invest in our employees' well-being and empower them with benefits, including:

  • 💵 Competitive salary
  • 💸401(k) retirement plan with company matching
  • 🌴15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out)
  • 📴8 paid holidays + 5 sick days + 2 personal days per year
  • ❤️‍🩹Company health, dental, and vision insurance plans + FSA
  • 🦺Voluntary STD and LTD
  • 🚍 Commuter/transit benefits

All your information will be kept confidential according to EEO guidelines.

Additional Information

C#.NET, Python, R, Snowflake, AWS, AWS Lambda, Azure, SQL

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