Data Solution Architect
5 days ago• Dublin, Ireland
Introduction
We're looking for a collaborative and thoughtful Data Solutions Architect to join our Software organization. In this role, you'll help connect the dots between Software product teams, Platform Engineering, and the CIO organization-making sure everyone is aligned and enabled to deliver great data experiences.
You won't be expected to build every solution yourself, but you'll play a key role in shaping how data is used across our software products. You'll work with architects and technical leads to support scalable, governed, and value-driven data strategies-especially around telemetry, integration, and analytics. Your work will support our shift toward SaaS and product-led growth, as well as newer efforts like AI-powered features and workflow automation.
Your role and responsibilities
- Partner Across Teams: Work with data architects, engineers, and other technical experts to align on data strategy, architecture patterns, and delivery frameworks that support our software roadmap.
- Support Product Data Needs: Help represent the needs of software product teams, making sure their requirements around telemetry, analytics, and data integration are clearly understood and supported.
- Enable Instrumentation: Help teams implement consistent and automated telemetry across the customer journey to better understand product usage and drive adoption.
- Connect Product and Go-to-Market teams: Support the development of data flows between Product and Go-to-Market teams to enable use cases like consumption-based pricing, targeted onboarding, and experimentation feedback loops.
- Contribute to AI Initiatives: Collaborate with teams building AI features to define tracking, success metrics, and governance strategies that ensure responsible and measurable outcomes.
- Coordinate Delivery: Help drive execution of cross-functional data initiatives by keeping teams aligned, removing blockers, and promoting shared understanding.
- Promote Governance: Support data governance efforts by working with CIO and Legal teams on standards like data quality checks, lineage tracking, access controls, and customer consent.
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Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
- 5+ years of experience working in a data-related discipline such as data strategy, data architecture, solution engineering, data engineering or analytics engineering.
- Strong understanding and experience with data warehousing (e.g. DB2, Snowflake), cloud-based environments, data integration patterns (e.g. ETL, reverse ETL, streaming and batch pipelines) and coding for analytics (SQL/ Python).
- Knowledge about customer data platforms (e.g. Salesforce, Adobe Experience), event streaming technologies like Kafka and Twilio Segment, and API integrations.
- A collaborative mindset and ability to communicate effectively across technical and business teams.
Preferred technical and professional experience
• Familiarity or experience with centralized data architecture or CIO functions in a large enterprise.
• Familiarity or experience with SaaS product analytics, instrumentation, or product-led growth.
• Familiarity or experience with Product/Customer Analytics tools such as Amplitude, Mixpanel, Gainsight or Heap.
• Familiarity or experience with AI product development and ethical data practices.
• Familiarity or experience with building dashboards using business intelligence tools such as Tableau, Microsoft Power BI or Cognos Analytics.
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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OTHER RELEVANT JOB DETAILS
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Client-provided location(s): Dublin, Ireland
Job ID: IBM-62003
Employment Type: OTHER
Posted: 2025-10-01T18:48:48
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