Data Professional

We are seeking a talented data professional to join our team as a Data Architect. As a key member of our organization, you will be responsible for designing and developing data architectures and pipelines that meet our business needs.

The ideal candidate will have experience working with multiple projects using cloud-based technologies such as GCP-Big Query and Data Proc. They will be collaborative, organized, and think outside the box.

• Data Architecture Design: Develop scalable and robust data architectures for data warehousing and enterprise data platforms.
• Data Pipelines Development: Create and optimize data pipelines and ETL/ELT/CDC workflows using tools such as Fivetran and Cloud Composer.
• Data Modeling: Collaborate with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.
• Database Management: Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.
• Data Quality and Security: Ensure data quality, integrity, and security across all data platforms and pipelines.
• Ai/Ml Integration: Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
• Reporting Frameworks: Design and develop reporting frameworks and data marts to support business intelligence needs.
• Integration and Governance: Integrate data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs.
• Data Governance: Define and implement data governance, master data management, and data cataloging strategies.
• Full Data Lifecycle: Contribute to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Proficiency in one or more backend languages/frameworks, 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 Kimball and Inmon methodologies.
• Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
• Familiarity with data warehousing concepts and best practices, including CDC.
• Strong version-control habits (Git) and experience with CI/CD pipelines.
• Excellent problem-solving, communication, and collaboration skills.

• Hands-on experience designing and deploying production-grade data warehouses.
• Deep experience with Google Cloud Platform (GCP): BigQuery for large-scale analytical workloads, Cloud Composer for orchestrating complex data pipelines, and Vertex AI for Ai/ml model serving and feature stores.
• Experience with other cloud providers (AWS, Azure) and their data services.
• Working knowledge of data governance frameworks, master data management, and data cataloging tools.
• Experience with data ingestion tools like Fivetran.
• Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.
• Familiarity with other data technologies such as SAP HANA.
• Understanding of MLOps concepts and their application to data pipelines.
• Contributions to open-source data projects or technical blogging/presentation.

We offer competitive compensation and benefits packages to attract and retain top talent. Our organization values diversity, equity, and inclusion, and we strive to create an environment where everyone feels welcome and empowered to contribute.