Senior Data & AI Solutions Architect – Customer Advisory

Summary:

These senior presales architecture roles are responsible for shaping, positioning, and validating modern Data & AI solutions for customers. The focus is on cloud data platforms, data engineering, AI/ML, and Generative AI/LLM‑based architectures. The architect partners with sales, delivery, and client executives to define target architectures, demonstrate value, and guide customers through data modernization and AI adoption.

Key Responsibilities

• Lead architecture design for cloud‑based data platforms, including ingestion, storage, pipelines, transformation, orchestration, warehousing, streaming, and Lakehouse patterns.

• Develop end‑to‑end data engineering solutions and integration patterns using modern ETL/ELT and cloud-native services.

• Architect AI/ML and GenAI solutions, including ML pipelines, MLOps frameworks, LLM integration, RAG architectures, vector search, and AI agent workflows.

• Conduct technical discovery, shape solution strategy, and translate business goals into scalable Data & AI architectures.

• Deliver customer presentations, demos, and proofs-of-concept to communicate technical vision and business value.

• Contribute to RFIs/RFPs, technical proposals, solution blueprints, and cost models.
  Advise customers on data modernization, cloud migration, AI adoption, platform optimization, and best practices.

• Collaborate with sales and delivery teams to ensure alignment, feasibility, and competitive positioning of solutions.

• Provide thought leadership and mentor junior architects.

Data Engineering & Platforms

• Experience designing modern data pipelines, ingestion frameworks, transformations, orchestration, and Lakehouse environments.

• Strong working knowledge of Spark, Databricks, Snowflake, Synapse, BigQuery, Redshift, ADF, Glue, Matillion, DBT, Fivetran, Talend, or equivalent tools.

• Proficiency in SQL, Python, and data modeling techniques (dimensional, Data Vault, Lakehouse modeling).

AI/ML & Generative AI

• Experience architecting ML platforms, training/serving pipelines, and MLOps frameworks.

• Familiarity with MLflow, Kubeflow, SageMaker, Azure ML, DataRobot, Snowflake ML, or related tools.
  Understanding of LLMs, embeddings, RAG patterns, vector databases, model fine‑tuning, and AI agent frameworks.

Cloud & DevOps

• Architecture experience on AWS, Azure, Databricks, Snowflake, Fabric, or GCP.

• Familiar with CI/CD, Infrastructure‑as‑Code, containers, and Kubernetes.

Optional Skills (Nice to Have)

• Data Governance, MDM, data quality, lineage, or tools such as Collibra, Purview, Alation, Atlan, Unity Catalog.

• Business Intelligence or semantic modeling experience with Power BI, Tableau, Qlik, Cognos, or MicroStrategy.

Qualifications

• Bachelor’s degree in computer science, IT, Engineering, or equivalent experience.

• 12+ years in Data & Analytics; 5+ years in presales or customer‑facing architecture roles.

• Strong communication, executive storytelling, and presentation abilities.

• Proven ability to influence stakeholders and serve as a trusted advisor.

• Must be authorized to work in the U.S. without current or future sponsorship.

Work Environment

• Remote role with travel as required for client engagements.

• Collaboration across global delivery teams and customer leadership.

• Must be legally authorized to work in Canada without sponsorship now or in the future

DXC is an equal opportunity employer. We welcome the many dimensions of diversity. Accommodation of special needs for qualified candidates may be considered within the framework of the DXC Accommodation Policy.

In addition, DXC Technology is committed to working with and providing reasonable accommodation to qualified individuals with physical and mental disabilities. If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please e-mail .

Note: This option is reserved for applicants needing a reasonable accommodation related to a disability.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.