Senior Solutions Architect

Senior Solutions Architect

Join to apply for the Senior Solutions Architect role at IBM

Introduction

A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.

Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Solution Architect you'll be a pivotal team member who connects the client's technical functional and implementation requirements with a solution design and proposal. You’ll work closely with clients and sellers to build solutions based on meeting the client’s business outcomes and known best practices for the technology and industry. In this fast‑paced role, you’ll design, construct, and build work breakdown structures leading to the rough order of magnitude, the price, and the statement of work.

A successful Solution Architect will demonstrate a natural bias toward self‑motivation and navigating data and people to find answers and present solutions that ensure world‑class delivery. If you are passionate about success with both your career and solving clients’ business challenges, this role is for you. To help achieve this win‑win outcome, a "day‑in‑the‑life" of this opportunity may include but not be limited to:
End‑to‑End Technical Guidance:
Providing expert end‑to‑end technical guidance to lead discovery discussions with prospective clients, assess architecture needs for projects, work with technical leads and sellers to create proposals. Finding the Best Architectural Outcomes:
Leading client workshops; influencing client stakeholders at all levels to find the best architectural outcomes that align to business and technology strategies and initiatives into actionable roadmaps with clear direction on execution to ensure business value and ROI. Maintaining Solution Review Boards:
Developing and contributing to the solution review boards for proposals including oversight for technology assurance, quality and risk evaluation. Building Successful Relationships:
Establishing and maintaining personal relationships at all levels - from engineers to CIOs - with experience of navigating challenging debate to reach healthy resolutions.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Minimum 15 years of experience working with customers in a pre‑sales or post‑sales technical role
• Minimum 5 years of people management experience; experience mentoring, coaching and developing teams
• Minimum 5 years of experience in selling professional services; scoping large projects, writing statements of work
• A strong track record of meeting or exceeding revenue targets in highly competitive markets
• A familiarity with solution‑based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities
• Proven ability to independently manage, develop, and close new client relationships
• In‑depth knowledge of Data Engineering, Data Lakehouse, Ingestion and Transformation technologies, with proven expertise in driving successful sales initiatives within these domains
• Strong ability to work across cross‑functional teams including Sales Engineering and Professional Services
• Extensive expertise in Snowflake and/or Databricks data platforms
• Specialized knowledge of and experience with major cloud platforms and its popular data services (e.g. AWS, Azure, GCP etc.)
• Extensive knowledge of and experience with large‑scale legacy database technologies (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)
• Experience with non‑relational platforms and tools for large‑scale data processing (e.g. Hadoop, HBase)
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Experience and track record of success selling data and/or analytics solutions to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
• Hands‑on expertise expected in one cloud and one data platform.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting