Data Systems Architect

Job Title: Data Systems Architect ">

About the Role:

We are seeking a highly skilled Data Systems Architect to join our team. As a key member of our data engineering department, you will be responsible for designing and implementing robust, scalable data infrastructure.

About You:

You have a proven track record of delivering data pipeline solutions and architecture. You should be able to understand business requirements and build reliable data infrastructure using big data technologies.

Key Responsibilities:

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• Contribute to the full data engineering lifecycle, including conceptualization, data modeling, implementation, and operational management of data systems. ">
• Build and maintain robust, scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, using orchestration tools like Apache Airflow. ">
• Support the development and management of the organization's data lake and data warehouse by implementing data models and applying modern data transformation practices with tools like dbt. ">
• Automate data processes by integrating different systems, APIs, and third-party services to ensure smooth data flow and synchronization. ">
• Adhere to and help enforce best practices for data governance, quality, and lineage, while implementing monitoring and alerting to ensure system reliability. ">
• Collaborate with cross-functional teams to help translate business requirements into technical specifications and production-ready solutions. ">
• Develop, deploy, and maintain internal automation solutions and tools by applying AI, web scraping, and custom logic to create effective data products. ">
• Any ad hoc duties as assigned ">

Requirements:

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• Bachelor's degree in computer science, Software Engineering, or related field is preferred. ">
• Minimum 2 years of similar experiences ">
• Solid understanding of software engineering principles, system architecture, and object-oriented design, with experience building applications. ">
• Strong proficiency in Python, including experience with data manipulation libraries (e.g., Pandas, NumPy) and frameworks for web scraping (e.g., Scrapy) or AI/ML (e.g., TensorFlow, PyTorch), is a plus. ">
• Experience with workflow orchestration tools like Apache Airflow for managing data pipelines. ">
• Familiarity with data transformation tools like dbt and an understanding of modern ETL/ELT design patterns. ">
• Experience with data modeling techniques (conceptual, logical, physical) and data warehouse schemas. ">
• Hands-on experience with any cloud platform (AWS, GCP, or Azure). ">
• Proficient in SQL with experience in designing and optimizing relational databases (e.g., PostgreSQL, Oracle, SQL Server). ">
• Experience with containerization and CI/CD is a strong plus. ">
• Experience in building AI agents or developing solutions using Generative AI frameworks (e.g., LangChain, LlamaIndex) is a plus. ">
• Good communication skills with the ability to explain technical concepts to various stakeholders. ">
• A proactive and analytical approach to problem-solving with attention to detail. ">
• Strong sense of ownership with the ability to work independently and manage assigned tasks and projects effectively. ">

About Our Team:

We are committed to creating a collaborative and inclusive work environment where our employees feel valued, supported, and empowered to contribute their best work.

What We Offer:

We offer a competitive salary and benefits package, opportunities for professional growth and development, and a dynamic work environment that supports your career goals.