Solution Architect

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Cloud Engineering

In short

Als Architekt in der Microsoft Industry Solutions - GCID-Organisation sind Sie für die erfolgreiche technische Umsetzung und Lieferung komplexer Kundenprojekte in verschiedenen Domänen verantwortlich. Sie werden KI-native Denkweisen in die Liefermodelle integrieren und sicherstellen, dass Lösungen intelligent, skalierbar und auf Geschäftsergebnisse ausgerichtet sind.

Responsibilities

Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes.
Embed AI-first mindset into delivery workflows, leveraging automation and intelligent orchestration where applicable.
Drive engineering excellence through reusable components, accelerators, and scalable architecture.
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements.
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches.
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions.
Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes.
Promote high-quality architecture and ensure integrity and performance across delivery.
Establish secure coding, test-driven development, observability, and performance standards as defaults.
Advance adoption of modern methodologies like Agile, DevOps, and CI/CD for scalable solutions.
Apply AI-driven design for user-focused solutions that support business, architecture, and delivery goals.
Assess modern technologies to guide strategy.
Drive innovation in delivery methods and reusable tools to boost efficiency.
Engage with clients to assess their needs and provide guidance throughout projects.
Assist pre-sales teams by preparing estimates, demonstrating products, and developing proposals.
Lead cross-functional teams to encourage learning, collaboration, and technical excellence.
Ensure secure, compliant, and reliable solution delivery through secure coding, test driven-development, observability, design reviews, and quality gates across all engagements.

Requirements

12+ years of experience in software/solution engineering, with at least 10+ years as Architect and Delivery leadership roles.
Proven experience in leading delivery of complex, multi-disciplinary projects.
Strong understanding of delivery methodologies (Agile, Scrum, DevOps, etc.) and adopt emerging practices for faster Go To Market (GTM) using Hyper Velocity Engineering
Excellent communication, stakeholder management, problem-solving, and team leadership skills.
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
Lead enterprise data modernization initiatives in close collaboration with Customer, team and Enterprise Architects, spanning assessment, target-state design, and optimization.
Drive and influence architectural decisions for modern data platforms, providing hands-on delivery leadership across Microsoft, Microsoft Purview, Azure Synapse Analytics, Azure Data Factory, and partner platforms such as Snowflake and Teradata.
Partner with Customer teams, cross functional Architects on workload characterization, environment separation, capacity planning, balancing performance, scalability, resilience, and total cost of ownership.
Hands-on leadership in designing, building, and operating large-scale batch and streaming data pipelines using Apache Spark, Databricks, Kafka, Hadoop, Hive, and HDInsight.
Own data engineering standards, SLAs, SLOs, and performance baselines, while actively implementing and reviewing critical pipelines.
Hands-on expertise across Azure SQL, SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Teradata, Netezza, Cosmos DB, and columnar analytics engines.
Lead and execute database performance assessments, capacity planning, and workload sizing for transactional, analytical, and AI workloads.
Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization.
Actively adopt and promote use large language models to automate data engineering tasks such as schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations.
Architecture definition to integrate AI and ML workloads into data platforms, including performance tuning and cost optimization.
Design, lead to implement, and optimize solutions using AI Agents where viable using Azure Machine Learning, Azure OpenAI, and Azure AI Services, including RAG pipelines and inference workloads.
Ensure Responsible AI principles are applied in all AI solutions.
Lead technical solutioning, estimations, and support architecture design during pre-sales and delivery shaping.
Translate business outcomes into clear architecture, execution plans, and risk mitigation strategies.
Lead rapid prototyping, pilots, and early-stage deployments for enterprise customers
Ability to go from whiteboard to production with minimal friction
Strong troubleshooting and production support expertise, including performance, reliability, and security issues
Outcome driven engineering focused on business impact, not activity
Adopt Hyper Velocity Engineering (HVE) methodology for rapid production deployment of AI Services
Building reusable assets, accelerators, and reference implementations
Comfortable operating in ambiguous, high-pressure environments with C-Level customer stakeholders

Desired Qualifications

Bachelor's degree in computer science, Information Technology, Engineering, or related field AND 12+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR master's degree in computer science, Information Technology, Engineering, or related field AND 12+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR equivalent experience.
8+ years technical sales experience.
8+ years project management experience.
Technical or Professional Certification in Domain (e.g., Security).

Benefits

Relevant certifications are a plus.

Skills

Azure Synapse AnalyticsAzure Data FactorySnowflakeTeradataApache SparkDatabricksKafkaHadoopHiveHDInsightAzure SQLSQL ServerPostgreSQLMySQLMariaDBOracleCosmos DBAzure Machine LearningAzure OpenAIAzure AI Services

#Consulting Services#Solution Architecture#AI-First#Data Architecture#Data Engineering#Database Platforms#AI & Advanced Analytics

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