Data Systems Architect
2 weeks ago
Overview
We are seeking a highly skilled Data Systems Architect to join our team. As a key member of our IT Services group, you will design, build, and maintain robust data systems to efficiently collect, store, process, and analyze large volumes of data.
About the Role
This is an exciting opportunity for a talented individual with expertise in data engineering, architecture, and governance to drive business outcomes through data-driven insights. Your primary responsibility will be to develop scalable and adaptable data solutions that can evolve with the company's needs.
Responsibilities
- Design and implement data pipelines, data warehouses, and data lakes using cutting-edge technologies and methodologies.
- Develop and enforce data governance practices to ensure data integrity, compliance with regulatory standards, and adherence to company policies.
- Collaborate closely with cross-functional teams to align data engineering efforts with broader IT and business objectives.
- Apply machine learning techniques and data mining processes to enhance data processing capabilities and extract valuable insights.
- Ensure secure coding practices to protect sensitive information and comply with security protocols.
- Support change and transformation initiatives by developing flexible and scalable data solutions.
- Design and manage database structures that support efficient data storage, retrieval, and analysis.
- Contribute to the development of data strategies that align with the company's long-term goals and digital transformation efforts.
Requirements
- You must have experience with DevOps practices, data governance frameworks, requirements analysis, machine learning, data mining, and strategic thinking.
- Expertise in designing and managing data warehouses that support large-scale data analysis is essential.
- A proven track record of delivering high-quality data systems in complex, regulated environments is required.
- Strong skills in designing and managing database structures that ensure efficient data storage and retrieval are necessary.
- Knowledge of risk management and control measures specific to data systems in a financial context is desirable.
About Us
Our client supplies thousands of tech and digital professionals annually to a range of clients through its offices spread across 42 countries. We strive to create amazing customer and candidate experiences driven by a genuine desire to build long-term relationships and outcomes.
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