Job Summary:
We are seeking a skilled and experienced Data Architect to design and manage centralized, end-to-end data architecture solutions, ensuring alignment with best practices in data modeling, database development standards, and data analytics. The ideal candidate will play a pivotal role in building and implementing high-performance data solutions tailored to support advanced analytics and data management in a telecom environment. This is a fully remote role requiring strong expertise in ETL processes, Informatica, and GCP (Google Cloud Platform), along with extensive experience within the telecommunications industry.
Key Responsibilities:
- Data Architecture Design: Develop scalable, robust, and efficient data architecture frameworks for data storage, access, and analytics in support of the telecom domain's business objectives.
- Data Modeling: Design logical and physical data models that meet organizational data standards and support complex reporting and analytical requirements.
- Database Development: Define and enforce database development standards to ensure consistent quality, performance, and security.
- Data Warehousing: Implement, manage, and optimize data warehouse solutions to support large-scale, high-velocity data environments.
- ETL & Data Integration: Oversee ETL processes and manage data integration using Informatica to ensure smooth, reliable, and secure data flow across platforms.
- GCP Cloud Management: Leverage Google Cloud Platform (GCP) to build and optimize cloud-native data solutions, ensuring high availability, scalability, and security.
- Data Analytics: Implement and manage data analytics systems to enable advanced data insights and business intelligence.
- Data Governance: Establish data governance standards and policies for data quality, data management, and data lifecycle management.
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Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Technology, or related field (Master's preferred).
- experience as a Data Architect, with a focus on telecom data environments.
- Strong expertise in data modeling, database development standards, and data warehousing.
- Proficient in ETL tools, particularly Informatica.
- Solid experience with Google Cloud Platform (GCP) for data solutions.
- Hands-on experience in data analytics and business intelligence frameworks.
- Strong problem-solving skills, with attention to detail and commitment to quality.
- Telecom domain experience required, with a clear understanding of industry-specific data challenges and requirements.
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Preferred Skills:
- Familiarity with other cloud platforms (AWS, Azure) is a plus.
- Experience with data governance frameworks and tools.
- Advanced certifications in data management or cloud services (e.g., GCP Professional Data Engineer) are highly desirable.
CST provides its clients with complete, cost-effective, end-to-end personnel solutions across a range of industrial domains. CST's mission is to empower businesses around the world to make better, faster operational decisions.