Senior Enterprise Data Solutions Specialist

Unlock the Power of Data

We are seeking a skilled Data Architect to design and develop scalable data architectures and pipelines that drive business success.

This role is ideal for an individual who is passionate about leveraging data to inform strategic decisions and drive organizational growth. The successful candidate will need to be collaborative, organized, think critically, and be ready to adapt to new technologies.

Key Responsibilities:

• Design and implement robust data architectures for data warehousing and enterprise data platforms.
• Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools such as Fivetran and Cloud Composer.
• Collaborate with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.
• Manage and administer various database systems, including BigQuery, SAP HANA, and PostgreSQL.
• Ensure data quality, integrity, and security across all data platforms and pipelines.
• Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI 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.
• Document technical designs, data lineage, and architecture for cross-functional reference.

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 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.
• 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 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.