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Presales Solutions Architect

  • Toronto, ON
  • On-site
  • Posted Sep 18, 2026
  • 1 position

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Employment type
Full-time
Experience level
Lead · 10+ years
Minimum education
Bachelor’s degree
Apply by
Oct 14, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

The Solutions Architect will lead technical engagements for Fortune 1000 clients, acting as the primary point of contact for leadership teams. They are responsible for designing scalable big data platforms, managing offshore teams, and aligning technical solutions with client business requirements.

Job details

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? Inc. 500 Fastest-Growing Companies (4 years running) Deloitte Technology Fast 500 (4 years running) Top Employer: AIM’s 50 Best Firms for Data Scientists Recently named British Data Awards Finalist & more accolades on the way! Accelerate your career with a fast-growing, innovative company. Apply now and be part of our award-winning team! Job Description: The Solutions Architect will lead technical engagements in the USA for fortune 1000 customers. This person will be the immediate point of contact to talk to leadership teams at the client side. Interacts and Guides a small offshore team (5-10) from USA, manages project activities at client location. As a Solutions Architect, you will be leading a team to build a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. Responsibilities: ● Align Sigmoid with key Client initiatives ○ Interface daily with customers across leading Fortune 500 companies to understand strategic requirements ○ Connect with CIO, VP and Director level clients on a regular basis. ○ Ability to understand business requirements and tie them to technology solutions ● Build a delivery plan with domain experts and stay on track ○ Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. ○ Excellent experience in Application development and support, integration development and data management. ● Build team and manage it day to day basis ○ Play the key role of hiring manager to build the future of Sigmoid. ○ Guiding developers in day to day design and coding tasks, stepping in to code if needed. ○ Define your team structure, Hire and train your team as needed ● Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid ○ Hands on coder with good understanding on enterprise level code ○ Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems ○ Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment ● Culture ○ Must be a strategic thinker with the ability to think unconventional / out of box. ○ Analytical and data driven orientation. ○ Raw intellect, talent and energy are critical. ○ Entrepreneurial and Agile : understands the demands of a private, high growth company. ○ Ability to be both a leader and hands on “doer.” ● Facilitate in Technical Aspects ○ Help Technical architects understand clients business constraints while drawing out architectures ○ Build a business case around highly scalable and fault-tolerant distributed components designed by technical architects ○ Lead integration effort onsite with the client technical teams ○ Understand client acceptance criteria and emulate that for offshore technical teams ○ Receive and monitor technical deliverables from the offshore team and present to client teams Qualifications: ● 10-15 years track record of relevant work experience and a Computer Science or related technical discipline is required ● Dynamic leader who has directly managed team of highly competent developers in fast paced work environment ● Experience in Architecture and delivery of Enterprise scale applications. Preferred Qualification: ● Experience in agile methodology ● Development and support experience in Big Data domain ● Architecting, developing, implementing and maintaining Big Data solutions ● Experience with database modeling and development, data mining and warehousing. ● Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc) ● Technical knowledge in AWS/GCS Stack. Vertica, Snowflake, Druid a plus. ● Experience with tech stack involving S3, Lambda, Step Functions, sns, DynamoDb, AWS Glue, Airflow, Redshift, BigQuery.

What you’ll do

The Solutions Architect will lead technical engagements for Fortune 1000 clients, acting as the primary point of contact for leadership teams. They are responsible for designing scalable big data platforms, managing offshore teams, and aligning technical solutions with client business requirements.

Requirements

Candidates must have 10-15 years of relevant experience in a technical discipline and a proven track record of managing competent developer teams. Proficiency in big data technologies, enterprise-scale application architecture, and agile methodologies is required.

Listed skills

  • Amazon Web Services · Preferred
  • Team Leadership · Preferred
  • Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Big Data
  • Solutions Architecture
  • Data Engineering
  • Data Science
  • AI Consulting
  • Cloud Computing
  • AWS
  • Distributed Systems
  • Team Leadership
  • Stakeholder Management
  • Agile Methodology
  • Data Modeling
  • API Design
  • Spark
  • Snowflake
  • Hadoop

Job areas

  • Technology
  • Data & Analytics
  • Consulting
  • Management & Leadership
  • Software

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