Solution Architect - Data Platforms presso IBM

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As an Architect in IBM Consulting, you will serve as a leader in defining and implementing solutions for clients. You will be the advocate for the client while guiding the technical team to implementation.

You will collaborate with client stakeholders and internal partners to understand the business problem and requirements, constraints of the system and concerns of the various stakeholders to systematically transform detailed solutions (architectures) for the client.

As Solution Architect with expertise in Data Platforms you have specialized in designing end-to-end Big Data Solutions across various platforms, with extensive experience in managing large data repositories (terabyte scale or larger). You have a deep understanding of industry standards, best practices, and the HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift). In this role you create data solutions tailored to clients, leveraging Cloud and traditional data platform offerings, and oversee the architecture for data platform & cognitive components, including unstructured data technologies, annotation, and related data and analytics. You are experienced with Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake.

Required technical and professional expertise

• Strong fundamentals in Computer Science in connection with Big Data solutions

• At least 8 years of proven experience as Data Architect

• Experience in leading technical project teams.

• Strong capability to design modern data lake-house architectures and approaches

• Experience with a variety of legacy platforms such as Oracle, Teradata and/or Hadoop Framework and Ecosystem including data on Containers (data in OpenShift) especially with regard to data transformation/migration scenarios

• Design enterprise wide client data platform scenarios/IT systems

• Experience with at least two Cloud native platforms such as AWS, Azure, Google, IBM

• Deep Knowledge in data platform analysis, design and implementation in (hybrid-) multi-Cloud environments

• Experience in data modelling, knowledge in different data model types like data vault, snowflake, star schema etc.

• Strong client-facing and consulting skills to shape date-driven transformation strategies.

• Excellent verbal and written German (min. C1 level)

Preferred technical and professional experience

• Solution architect certificates from at least two cloud providers

• Knowledge in data security and GDPR relevant topics

• Databricks and/or snowflake skills are welcome

• Experience with SAP data integration (e.g. SAP Datasphere or SNP Glue) is welcome

• Data Governance skills are welcome

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.