Overview
Skills
Job Details
Job Title: Google Cloud Platform Solution Architect
Location: Across USA any Location
The pay range for this role is $150k - $160k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Experience: 15+ years
Job Description:
We are seeking a highly experienced Data Solution Architect to join our team. The ideal candidate will have over 15 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.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .