
Chief Data Strategist
5 days ago
We are seeking a talented professional to design and develop scalable and robust data architectures for data warehousing and enterprise data platforms.
- The ideal candidate will have experience working on multiple projects with cloud technologies.
This role is perfect for an individual who is passionate about making a difference through innovative solutions.
Key Responsibilities:- Design and implement data architectures that meet business requirements and ensure data quality, integrity, and security across all data platforms and pipelines.
- Collaborate with data scientists, product managers, and stakeholders to define data requirements and create logical and physical data models.
- Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools such as data integration platforms and workflow orchestration tools.
- Manage and administer various database systems, including relational databases and NoSQL databases.
- Work with AI/ML teams to design data serving layers and feature stores that support machine learning workloads.
- Design and develop reporting frameworks and data marts to support business intelligence needs.
- Integrate data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs.
- Define and implement data governance, master data management, and data cataloging strategies.
- Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.
- Troubleshoot and resolve data platform issues to ensure high availability and optimal performance.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
- Proficiency in one or more programming languages, with a strong preference for Python or Go.
- Experience with building RESTful APIs and designing microservices for data delivery.
- Solid grasp of data modeling fundamentals, including dimensional modeling methodologies.
- Proficiency in writing complex SQL queries and experience with relational and NoSQL databases.
- Familiarity with data warehousing concepts and best practices, including change data capture.
- Strong version-control habits (Git) and experience with continuous integration and continuous deployment pipelines.
- Excellent problem-solving, communication, and collaboration skills.
- Passion for continuous learning and adapting to emerging data technologies.
Preferred Qualifications:
- Hands-on experience designing and deploying production-grade data warehouses.
- Deep experience with cloud platforms (AWS, Azure, GCP): data storage services, workflow orchestration tools, and AI/ML services.
- Experience with other data technologies such as graph databases and streaming data platforms.
- Working knowledge of data governance frameworks, master data management, and data cataloging tools.
- Experience with data ingestion tools like data integration platforms.
- Business-intelligence expertise in building dashboards and reports with data visualization tools.
- Familiarity with other data technologies such as big data processing frameworks.
- Understanding of MLOps concepts and their application to data pipelines.
- Contributions to open-source data projects or technical blogging/presentation
What We Offer:
A competitive compensation package and excellent benefits. A dynamic and collaborative work environment that fosters innovation and growth. Opportunities for professional development and career advancement.
How to Apply:
Send your resume and cover letter to us. We look forward to hearing from you.
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