Solutions Architect at OTSI

Tyrnävä, North Ostrobothnia, Finland -

Full Time

Start Date

Immediate

Expiry Date

09 Jul, 26

Salary

0.0

Posted On

10 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Architecture, Cloud Architecture, Software Engineering, Data Platforms, Artificial Intelligence, Machine Learning, Microsoft Fabric, Databricks, Snowflake, Azure, AWS, GCP, Python, Spark, Scala, Presales

Industry

IT Services and IT Consulting

Description

OTSI (Object Technology Solutions, Inc) has an immediate opening for a Solutions Architect Solutions Architect - Dallas/Houston (Remote - Open to travel) Job Description: We are seeking a Solutions Architect with deep hands-on expertise across software engineering, data platforms, AI and ML, and cloud architecture. This role blends technical leadership, presales strategy, and hands on solution design, partnering closely with Sales, Product, and Delivery teams to shape high value customer opportunities and modernize enterprise data and AI ecosystems. Key Responsibilities Design end-to-end software solutions including application architecture, integration patterns, and cloud native design for client projects and in-house R&D initiatives Architect and deliver modern data platforms using Microsoft Fabric, Databricks, Snowflake, or hybrid combinations, including data warehouses, semantic models, and enterprise data architectures aligned to analytics and AI use cases Develop cloud architectures across Azure, AWS, and GCP balancing innovation, scalability, and cost efficiency Provide hands on technical leadership across development, data engineering, AI and ML, and analytics workloads Architect and implement AI/ML solutions using popular LLM ecosystems including building/fine-tuning models, developing AI-powered applications, and integrating generative AI into enterprise workflows Provide hands-on technical leadership across development, data engineering, AI/ML, and analytics workloads, guiding customers through the SDLC with architectural consistency, quality, and delivery readiness Lead the technical evaluation phase during sales cycles partnering with Sales and Presales to shape deal strategy, define solution scope, and build compelling technical narratives Required Skills: Core Technical Expertise 5+ years designing cloud-native software solutions and architectures on Azure, AWS, or GCP 6+ years working with Big Data technologies such as Apache Spark, Hadoop, Cassandra, and distributed compute frameworks Hands-on experience designing data platforms using Databricks, Microsoft Fabric, and Snowflake (emphasis on Fabric and Databricks), including data modeling, data warehousing, and enterprise data architecture Deep knowledge of the SDLC, engineering best practices, and modern development patterns Technical experience designing, developing, and integrating AI/ML solutions including large language models (OpenAI, Llama, custom models), vector search, prompt engineering, and building AI-powered applications Required Skills: Consulting, Presales & Leadership 5+ years in client-facing presales, consulting, or solution architecture roles Strong ability to translate complex technical concepts into clear, compelling business value with executive presence across technical and business stakeholders Experience collaborating with Sales and Presales to shape opportunities, define architectures, and support deal strategy Strong storytelling, communication, and white boarding skills Bonus Technical experience with Power Platform (Power Apps, Power Automate, governance) and Power BI (data modeling, DAX, semantic models) Coding experience in Python, Spark, or Scala What You Bring A blend of software engineering depth, data platform expertise, and hands-on AI and ML capability A consultative mindset with the ability to influence strategy, architecture, and customer outcomes Comfort operating across presales, architecture, hands-on development, and customer advocacy Passion for modern data, AI, and cloud technologies

Responsibilities

Design end-to-end software solutions and modern data platforms while providing technical leadership across AI, ML, and cloud architecture. Lead technical evaluations during sales cycles to shape deal strategy and define solution scopes for high-value customer opportunities.