At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. We are seeking a Application Modernization Architect to play a pivotal role in our Consulting & Professional Services team, focused on cloud-native development and software modernization. This position is an advisory role providing strategic and tactical guidance to our clients and delivery teams. The ideal candidate is passionate about emerging practices such as AI-assisted refactoring and eager to integrate these tools into modern development workflows. You will engage directly with clients, translating complex technical requirements into actionable architectures and roadmaps, while also rolling up your sleeves to write code for PoCs and PoVs. What You'll Do - Assess legacy application portfolios, identify modernization opportunities, and develop technical roadmaps aligned with business outcomes. - Collaborate with stakeholders to understand business requirements and translate them into scalable, secure, and cost-effective software solutions. - Conduct technical discovery and strategy workshops to identify pain points, define modernization approaches, and guide solution design on topics such as microservices, cloud-native architecture, DevOps, and CI/CD. - Serve as a trusted technical advisor and subject matter expert on cloud technologies and software architecture, ensuring solutions align with client objectives. - Work with internal stakeholders to define scope, develop cost estimates and labor projections, and prepare Statements of Work (SOWs), product pricing, and RFP/RFI responses. - Design reference architectures, solution patterns, and migration frameworks that balance cost, maintainability, security, and performance. - Architect full-stack solutions that deliver measurable business value and enable teams to learn, iterate, and adopt modern delivery practices effectively. - Provide hands-on development leadership, coding alongside teams when needed. - Act as a thought leader by speaking at industry events, publishing white papers, and contributing to case studies. Minimum Qualifications - Bachelor's degree in a related field and 6 years of experience, OR a Master's degree and 4 years, OR a Ph.D. and 1 year, OR 10 years of related experience in lieu of a degree - 5+ years working as an architect in cloud-native and modernization initiatives. - Hands-on expertise with at least one major cloud platform (AWS, Azure, Google Cloud). - Expertise in software architecture patterns, including microservices, monolithic refactoring, event-driven architecture and serverless computing. - Experience with containerization & orchestration technologies (Kubernetes, Docker, or, OpenShift). - Hands-on experience with application modernization initiatives from inception to production. - Strong client-facing communication skills, with experience delivering technical presentations and engaging with business/technical stakeholders. Preferred Qualifications - Agentic software modernization methods and best practices. - Experience with AI-assisted coding tools (GitHub Copilot, Claude Code, Kiro OpenCode, or equivalent). - Professional services or consulting experience, including direct client delivery. - Experience working with global or distributed engineering teams. USD 134,900.00 - 224,900.00 per year Compensation: Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. RapidScale's Professional Services practice is focused on helping enterprise and SMB clients modernize their data infrastructure, operationalize machine learning, and lay the foundations for AI-enabled operations. In the Data Architect Delivery role: you will own the end-to-end execution of Data and ML platform engagements - from architecture and implementation through client handoff - while carrying technical accountability for the quality and performance of every solution you deliver. You will also contribute to presales as a technical authority, but that is a support function here, not the primary one. The right candidate is energized by leading delivery teams, solving hard data engineering problems in client environments, and building long-term client trust through consistent execution. As a Data Architect, you will perform the following: - Delivery Leadership (~50%) - Own end-to-end delivery of data platform engagements: managing scope, timeline, budget, team coordination, and client satisfaction from kickoff through handoff - Lead cross-functional delivery teams that may include project managers, business analysts, data engineers, developers, and change management professionals - ensuring the right skills are in place at each stage - Manage engagement health proactively: identify delivery risks early, escalate appropriately, and maintain clear communication with client stakeholders throughout - Serve as the primary client relationship owner during delivery, building trust through reliable execution and transparent progress reporting - Conduct technical requirements gathering and capability assessments to establish a sound foundation for each engagement - Translate complex technical architectures into clear business outcomes for non-technical client stakeholders - Technical Architecture (~45%) - Design and implement modern cloud data architectures across AWS, Azure, and Google Cloud - including data lakes, lakehouses, data warehouses, and real-time streaming platforms - Lead migration of legacy on-premise data systems to cloud-native architectures, ensuring performance, scalability, and cost-efficiency - Build and oversee ETL and data pipelines using cloud-native automation and orchestration tools - Design and implement machine learning infrastructure on cloud platforms - including feature stores, model training pipelines, experiment tracking, and model serving and monitoring in production - Architect data foundations that support downstream ML, AI, and agentic workflows, including intelligent document processing, knowledge retrieval, and structured/unstructured data integration - Establish and enforce data quality, governance, and observability standards across client environments, including ML model performance monitoring and drift detection - Evaluate and recommend appropriate tooling across the modern data and ML stack based on client context, capability, and long-term roadmap Presales Support (~5%) - Partner with sales teams as a technical authority during discovery calls, client workshops, and solution presentations - Develop proposals including solution architecture, scope of work, resource requirements, and budgetary estimates - Build conceptual architectures and executive-level presentations that articulate solution value clearly Qualifications Minimum Requirements - Bachelor's degree in a related discipline and 8 years' experience in a related field OR a Master's degree and 6 years' experience OR a Ph.D. and 3 years of experience OR 12 years' experience in a related field - 1+ years of hands-on experience building and deploying machine learning solutions in a cloud environment - including model training pipelines, feature engineering, and production model serving using platforms such as Google Vertex AI, Amazon SageMaker, or Azure Machine Learning - 3+ years building and maintaining ETL and data pipelines using cloud-native automation and orchestration tools - Hands-on experience with cloud data warehousing and lakehouse platforms (e.g., Google BigQuery, Amazon Redshift, Azure Synapse Analytics, Microsoft Fabric, Databricks, Snowflake) - Proficiency in Python for data engineering tasks; working knowledge of at least one additional language relevant to the data stack (e.g., SQL at scale, Scala, Java) - Strong communication skills - able to present technical architectures to executive audiences and document solutions clearly for both technical and non-technical stakeholders Preferred Qualifications - Experience architecting data solutions specifically designed to support AI and agentic workflows - including intelligent document processing, RAG pipelines, knowledge retrieval, and structured/unstructured data integration for LLM consumption - Experience applying ML to analytics use cases such as forecasting, anomaly detection, customer segmentation, or recommendation systems in an enterprise context - Familiarity with prompt engineering or context engineering practices when integrating LLMs into data and ML workflows - Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Amazon Kiro, Google Gemini) in a professional engineering context - Professional certifications from GCP, AWS, and/or Azure (data or solutions architect tracks) USD 163,400.00 - 272,300.00 Compensation: Compensation includes a base salary in the range of $163,400.00 - $272,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

CAPCO POLAND *We're looking for Poland-based candidates. Capco is a global management and technology consultancy dedicated to the financial services industry. We partner with leading banks, insurers, and fintechs to deliver data-driven transformation, operational excellence, and innovative digital solutions. Role Overview: We are looking for a Data Architect to join a strategic client project where architecture design, technology selection, and implementation alignment are critical to success. This is a consulting role for a professional who combines strong architectural thinking with hands-on technical expertise. You will bridge business data requirements, logical and physical data models, cloud platforms (GCP/Azure), and implementation realities. You will be responsible for shaping end-to-end data architecture — from conceptual and logical models, through tooling recommendations, to supporting implementation teams in building scalable, secure, and future-ready data platforms. What You’ll Do: Data Architecture Design - Define target data architecture aligned with business and governance requirements - Design conceptual, logical, and physical data models - Establish data integration patterns (batch, streaming, APIs) - Define data storage, processing, and consumption layers (lake/lakehouse/warehouse paradigms) - Ensure alignment between data architecture and enterprise architecture standards Cloud & Platform Architecture (GCP / Azure) - Design scalable cloud-native data platforms on GCP and/or Azure - Define architecture patterns leveraging services such as: - GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage) - Azure (Synapse, Data Factory, Databricks, ADLS, Event Hub) - Ensure security, IAM, data protection, and cost-efficiency principles are embedded - Design DevOps/DataOps approaches for CI/CD and infrastructure-as-code Tooling Recommendations - Assess current data ecosystem and identify architecture gaps - Recommend appropriate tools for ingestion, transformation, storage, metadata, and data quality - Define selection criteria and evaluate vendors/platform components - Ensure tooling decisions align with scalability, governance, and long-term maintainability Implementation Support & Technical Leadership - Provide hands-on support in prototyping and validating architecture decisions - Guide engineering teams during implementation - Review code, pipelines, and data models where needed - Resolve architectural blockers and technical risks - Ensure performance optimisation and reliability of data solutions What We’re Looking For - Proven experience as a Data Architect or Senior Data Engineer in transformation projects - Strong understanding of data modelling (conceptual, logical, physical) - Hands-on experience building data platforms in GCP and/or Azure - Strong knowledge of modern data architecture patterns (lakehouse, data mesh, event-driven architectures) - Experience designing and implementing ETL/ELT pipelines - Solid understanding of SQL, distributed data processing, and cloud-native architectures - Practical experience with DevOps/DataOps practices - Ability to translate business requirements into scalable technical designs Technical Skills (Expected Hands-On Experience) - Cloud: GCP and/or Azure - Data Warehousing & Lakehouse architectures - SQL and data transformation frameworks - Orchestration tools (e.g., Airflow, Azure Data Factory) - Infrastructure as Code (e.g., Terraform) – nice to have - CI/CD pipelines for data platforms - Experience working with large-scale structured and semi-structured datasets Ideal Profile - Strong technical background with architectural mindset - Comfortable switching between whiteboard design and hands-on validation - Experience working in consulting or complex transformation environments - Ability to communicate architecture decisions clearly to both business and technical stakeholders - Pragmatic, solution-oriented, delivery-focused We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: - HR Interview - Hiring Manager Technical Interview - Client Interview - Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Role Description As a Principal Platform Architect (Principal) for Kainos, you’ll be accountable for leading the delivery of cloud platforms and solutions enabling business transformation which delight our customers and positively impact the lives of users worldwide. As a technologist you will be inquisitive and will embrace new technology. - Provide leadership as part of multi-disciplinary agile teams. - Build a shared understanding of the outcomes the solution must deliver. - Understand the technical landscape and complexity surrounding designs. - Foster and build relationships with senior stakeholders. - Establish architectural principles and strategic direction of the platform. - Drive technology direction and advancement in the Kainos Platforms Capability. - Guide others in their career journeys while being supported in yours. - Collaborate with colleagues to establish development of blueprints and standards. - Foster customer relationships and contribute to account strategies. - Act as a technology ambassador for Kainos. Qualifications - A desire to work on complex and ambitious programmes within the Public Sector (SC clearance required). - Proven experience of leading the delivery of platforms underpinning large scale cloud transformation. - Experience leading and making technology decisions driving positive customer outcomes. - Experienced in building and fostering relationships with stakeholders, including executive and C-level senior stakeholders. - Experience with public cloud platforms, such as AWS, Azure, GCP (spanning IaaS, PaaS, and SaaS). - Demonstrated ability in managing, coaching, and developing team members. Requirements - Have pro-actively developed business across an account with sales and account managers. - Experience in managing others, setting objectives, giving feedback, and leading performance reviews. - Actively sharing thoughts and views on technology. - Experience of helping to bring challenging projects back on track. - Previous accountability in creation and promotion of new products or services to meet organizational strategy. - Participation in technology communities. Benefits - Commitment to diversity, equity, and inclusion. - Supportive talent acquisition team for accommodations and adjustments. - Tailored recruitment process to individual needs.