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Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Advise on migration strategies and oversee end-to-end data application migrations
Design and review detailed, scalable technical architectures
Assess application and IT portfolios and build migration and automation roadmaps
Analyze TCO and build business cases for cloud transformation
Define solution requirements with business stakeholders
Advise on migration strategies for data applications and oversee the end-to-end migration process
Design and review detailed technical architectures, ensuring robust and scalable implementations
Assess existing application and IT service portfolios, and develop comprehensive migration, transformation, and automation roadmaps
analyze total cost of ownership (TCO), and develop compelling business cases for cloud transformation
Partner with business stakeholders to define solution requirements and identify key use cases
Strong technical background in GCP Data Engineering and modern cloud architectures
Proven experience delivering multi-cloud or GCP-based data solutions in an architect role
Hands-on experience with GCP data products such as BigQuery, Dataflow, Dataproc, and Cloud Composer
Google Cloud Professional Architect and/or Data Engineer certification
English proficiency at B2 level or higher
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
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We are seeking a Data Solution Architect to join our team and drive the development of innovative data solutions. In this role, you will collaborate with experienced professionals to deliver impactful outcomes for our clients. Responsibilities Advise on migration strategies for data applications and oversee the end-to-end migration process Design and review detailed technical architectures, ensuring robust and scalable implementations Lead cloud engineering initiatives, serving as the primary technical contact for architects and engineers Enable multi-cloud adoption, analyze total cost of ownership (TCO), and develop compelling business cases for cloud transformation Partner with business stakeholders to define solution requirements and identify key use cases Assess existing application and IT service portfolios, and develop comprehensive migration, transformation, and automation roadmaps Support solution implementation from requirements gathering through to successful go-live Contribute to the creation of technology blueprints, white papers, and solution architecture artifacts Collaborate closely with GCP architecture and delivery teams to ensure successful data application migrations and project delivery Provide best-practice guidelines for infrastructure and application migration, including hybrid cloud solutions in regulated environments Guide clients through technical and organizational challenges, designing robust cloud strategies aligned with business objectives Stay current with industry trends and best practices, and contribute thought leadership on GCP solutions Requirements Strong technical background in GCP Data Engineering and modern cloud architectures Demonstrated business acumen with the ability to propose innovative, competitive technical solutions and secure client buy-in Proven experience delivering multi-cloud or GCP-based data solutions in an architect role Expertise in architecting, designing, and migrating workloads to Google Cloud Platform, preferably for Banking or Financial Services clients Google Cloud Professional Architect and/or Data Engineer certification Hands-on experience with GCP data products such as BigQuery, Dataflow, Dataproc, and Cloud Composer Experience mentoring and collaborating with junior team members Strong analytical, consultative, and troubleshooting skills across diverse platforms Excellent written and verbal communication skills, with the ability to convey technical concepts in business terms English proficiency at B2 level or higher Nice to have Familiarity with AI, preferably Vertex AI
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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