Sr. Solutions Architect - Services Presales - Microsoft Fabric & Data Engineering

shi; United States; Remote; USD 128,000 - 176,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement savings plan

Flexible spending program

Job summary

shi is seeking a senior presales architect to lead the design of enterprise-scale data platforms. You will translate complex business and technical requirements into secure, scalable data engineering solutions for cloud analytics, lakehouse, warehousing, and AI workloads, while guiding client discussions.

You will collaborate with sales and delivery teams to understand objectives, lead workshops and proof-of-concepts, and define roadmaps, proposals, and cost estimates for successful

Qualifications

• Bachelor's degree in computer science, information systems, or a related discipline; a master’s degree is preferred.
• 10+ years of experience in data architecture and engineering, including large-scale solution delivery and presales work.
• Strong expertise with modern cloud data platforms, lakehouse architecture, data warehousing, Spark-based processing, and real-time analytics.

Responsibilities

• Partner with sales and delivery teams to understand client objectives, technical constraints, and modernization priorities.
• Lead discovery sessions, technical workshops, assessments, demonstrations, and proof-of-concepts.
• Design end-to-end architectures covering data ingestion, transformation, storage, warehousing, real-time processing, governance, and analytics.
• Prepare technical proposals, implementation roadmaps, cost estimates, statements of work, and service recommendations.
• Define data pipelines, streaming architectures, CI/CD practices, infrastructure-as-code approaches, and performance improvements.
• Collaborate with governance and AI specialists to ensure data platforms support policy requirements and machine-learning or large-language-model workloads.

Skills

Data architecture

Data engineering

Cloud data platforms

Lakehouse

Data warehousing

Spark

Real-time analytics

DevOps

Infrastructure as code

Data governance

Performance tuning

Communication

Presentation

Analytical skills

Client relationships

Education

Bachelor's degree in CS or related

Master's degree preferred

Tools

Cloud data warehouses

Data lakes

Managed Spark services

Relational databases

ETL/ELT

Data modeling

Streaming systems

Job description

Role overview

Lead the design of modern, enterprise-scale data platforms in a senior presales architecture role. You will translate complex business and technical requirements into secure, scalable data engineering solutions, guide client discussions, and help shape implementation strategies for cloud-based analytics, lakehouse, warehousing, and AI workloads.

Responsibilities

• Partner with sales and delivery teams to understand client objectives, technical constraints, and modernization priorities.
• Lead discovery sessions, technical workshops, assessments, demonstrations, and proof-of-concepts.
• Design end-to-end architectures covering data ingestion, transformation, storage, warehousing, real-time processing, governance, and analytics.
• Prepare technical proposals, implementation roadmaps, cost estimates, statements of work, and service recommendations.
• Define data pipelines, streaming architectures, CI/CD practices, infrastructure-as-code approaches, and performance improvements.
• Collaborate with governance and AI specialists to ensure data platforms support policy requirements and machine-learning or large-language-model workloads.

Requirements

• At least 10 years of experience in data architecture and engineering, including large-scale solution delivery and substantial presales work.
• Strong expertise with modern cloud data platforms, lakehouse architecture, data warehousing, Spark-based processing, and real-time analytics.
• Proficiency with cloud data warehouses, data lakes, managed Spark services, relational databases, ETL/ELT, data modeling, and streaming systems.
• Experience with DevOps, infrastructure as code, data governance, and performance tuning.
• Excellent communication, presentation, analytical, problem-solving, and client relationship skills.
• Bachelor’s degree in computer science, information systems, or a related discipline; a master’s degree is preferred.

Nice to have

• Relevant cloud architecture, data engineering, analytics, or database certifications are preferred.

Benefits and work setup

The source lists a base salary range of $128,000–$176,000 and estimated total earnings of $160,000–$250,000, varying by location and qualifications. Benefits may include medical, dental, vision, retirement savings, and flexible spending programs.