Senior Data Architect
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Job Description
Senior Data Architect supporting data architecture initiatives across cloud environments at Goods & Services. Designing, implementing, and optimizing data infrastructure and solutions to drive innovation and decision-making.
Responsibilities:
- Design, implement, and optimize data models, databases, data warehouses, and data lakes to support data storage, retrieval, and analysis needs.
- Support strategic vision and roadmap for data architecture, in alignment with the company’s overall objectives and goals.
- Define data architecture standards, best practices, and patterns to ensure the integrity, reliability, and scalability of our data assets.
- Collaborate with cross-function teams, including software engineering, data science, and business domains to align data architecture initiatives with business requirements and technical objectives.
- Architect and implement data integration solutions, ETL pipelines, and data governance frameworks to ensure the accuracy, consistency, and security of data across all systems and processes.
- Design and implement master data management (MDM) strategies, data quality management processes, and metadata management solutions to enable data governance and compliance.
- Evaluate and recommend data technologies, tools, and platforms to optimize performance, cost, and scalability.
- Build strong partnership with data engineering to ensure proper alignment fostering a culture of innovation, collaboration, and continuous learning.
Requirements:
- Bachelor’s or master’s degree in computer science, engineering, or related field.
- 5 years’ experience in data architecture, database design, and data management.
- Experience in data modeling, database technologies, data warehousing, and ingestion frameworks.
- Experience with NoSQL, Kafka, Middleware, and cloud-based platforms (e.g., AWS, Snowflake)
- Experience designing and implementing callable, high-performance, and resilient data architectures for complex enterprise environments.
- Technical knowledge in data quality standards, governance and design.
- Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with senior technology leaders at all levels of the organization.
- Demonstrated ability to think strategically, drive results, and navigate complex technical and organization challenges in a fast-paced, dynamic environment.
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