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DATA & AI SENIOR PRESALES SOLUTION ARCHITECT - CANADA

Roles & Responsibilities

  • Bachelor’s degree in computer science, IT, Engineering, or equivalent experience.
  • 8+ 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.

Requirements:

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

Job description

Job Description:

This senior presale architecture role is 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 proof‑of‑concepts 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 solution positioning.
• Provide thought leadership and mentor junior architects.

Required Technical Skills

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.

Mandatory Qualifications

• Bachelor’s degree in computer science, IT, Engineering, or equivalent experience.
• 8+ 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.

• Applicants must be legally authorized to work in the United States at the time of hire. The company does not provide sponsorship and cannot consider candidates on work visas or requiring future sponsorship

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 AODA Canada Requests.

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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

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