Job summary
Job post source
This job is directly from Prodapt
Job overview
The GCP Data Architect role at Prodapt involves designing and managing scalable, secure data architecture on Google Cloud Platform to support advanced analytics and machine learning initiatives.
Responsibilities and impact
The candidate will design and implement batch and real-time data pipelines, develop cloud-native solutions, support machine learning workflows, collaborate with software teams, enforce architectural standards, and provide technology leadership.
Compensation and benefits
The job offers competitive pay and opportunities to work with cutting-edge GCP technologies on impactful projects, though specific salary and benefits details are not provided.
Experience and skills
Candidates need 3+ years in Data Architecture, 5+ years hands-on with GCP, expertise in core GCP services, programming in Python, Java, SQL, containerization, infrastructure automation, and a Google Professional Cloud Architect certification; 7+ years in solution architecture is preferred.
Career development
The role offers opportunities to work with advanced GCP technologies and large-scale data systems, fostering professional growth through innovation and collaboration.
Work environment and culture
Prodapt emphasizes a customer-centric, innovative, and dynamic work environment aligned with client business goals and industry leadership.
Company information
Prodapt is a leading AI-first telecom-native technology partner with over 6,000 employees worldwide, recognized by Gartner and backed by a 130-year legacy Jhaver Group.
Unique job features
The position stands out by focusing on serverless and streaming data architectures on GCP, supporting advanced analytics and machine learning in a telecom-focused environment.
Company overview
Prodapt is a global technology consulting and managed services provider specializing in the telecommunications and digital service provider (DSP) industry. They offer a range of services including digital transformation, network services, IT infrastructure management, and customer experience enhancement. Founded in 1999, Prodapt has grown by leveraging strategic partnerships and acquisitions to expand its capabilities and market reach. The company generates revenue through consulting fees, managed services contracts, and technology solutions tailored to the needs of telecom operators and DSPs. Key clients include leading telecom companies and digital service providers worldwide.
How to land this job
Position your resume to highlight extensive experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer, emphasizing your ability to design scalable, high-performance data architectures on GCP.
Focus on showcasing your expertise in building both batch and real-time streaming data pipelines, your proficiency in Python, Java, and SQL, and your knowledge of containerization tools like Docker and Kubernetes.
Apply through multiple channels including Prodapt's official corporate careers page, LinkedIn job postings, and other reputable tech job boards to maximize your application visibility.
Connect with current Prodapt employees in the data architecture or cloud solutions teams on LinkedIn; use ice breakers like commenting on recent Prodapt innovations in telecom data architecture or asking about their experience working on AI-first cloud projects.
Optimize your resume for ATS by incorporating keywords from the job description such as 'GCP Data Architect,' 'streaming data pipelines,' 'BigQuery,' 'Cloud Composer,' 'machine learning workflows,' and 'Terraform' to ensure it passes initial automated screenings.
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