[Hiring] DATA & AI SENIOR PRESALES SOLUTION ARCHITECT @DXC Technology

Role 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.

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.

Requirements

• 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).
• 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.
• 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.

Benefits

• Comprehensive, flexible, and competitive benefits program including health, dental, and vision insurance coverage.
• Employee wellness programs.
• Life and disability insurance.
• Retirement savings plan.
• Paid holidays and paid time off.

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.