Sr Data Analyst/Architect

Job Title: Sr Data Analyst/Architect
Location: Remote
Duration: Long-term

Note: Need 10+ years experienced candidate only.

Job Description:
We are seeking a highly experienced Data Solution Architect to join our team. The ideal candidate will have over 10 years of experience in designing and implementing data solutions, with a strong focus on cloud data warehousing and real-time data processing. This role requires advanced knowledge in various data technologies and the ability to translate business requirements into scalable and efficient data architectures.

Key Responsibilities:
Design and implement data warehousing (DWH) architectures for large-scale data ingestion, with a preference for Google Cloud Platform Big Query.
Develop and manage ETL/ELT pipelines, including data ingestion, transformation, and storage processes.
Create and maintain data models and architectures, including dimensional modeling, data lakehouse design, and data partitioning/sharding.
Utilize SQL for data analysis across heterogeneous sources.
Handle real-time streaming data pipelines for network performance and customer insights.
Implement business use cases such as churn prediction, network optimization, and revenue assurance solutions.

Key Skills:
Cloud Data Warehousing (DWH): Advanced knowledge of designing and implementing DWH architecture for large-scale data ingestion, with a preference for Google Cloud Platform Big Query.
ETL/ELT Pipelines: Expertise in developing and managing ETL/ELT pipelines, including data ingestion, transformation, and storage processes.
Data Modeling and Architecture: Proficiency in dimensional modeling, data lakehouse design, and data partitioning/sharding.
SQL Proficiency: Strong skills in SQL for data analysis across heterogeneous sources.
Real-Time Data Processing: Experience in handling real-time streaming data pipelines for network performance and customer insights.
Business Use Case Implementation: Expertise in implementing business use cases such as churn prediction, network optimization, and revenue assurance solutions.

Qualifications:
Bachelor's or master s degree in computer science, Information Technology, or a related field.
Proven experience in data architecture and solution design.
Strong problem-solving skills and the ability to work in a fast-paced environment.
Excellent communication and collaboration skills.

Preferred Qualifications:
Experience with Google Cloud Platform Big Query and other cloud data warehousing solutions.
Familiarity with modern data processing frameworks and tools.