Solution Architect - Qualified Pipeline

September 25

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MicroStrategy Consultants • Data Warehousing • Business Intelligence Solutions • Project Management • Dashboard Customization & Design

51 - 200

Description

• Collaborate with team members to design, develop, and implement modern data architectures that align with the customers’ business strategies and goals. • Contribute to the creation and maintenance of architecture diagrams, data models, and other key project deliverables. • Provide technical expertise in data management, ensuring data integrity, security, and optimal performance in cloud-based environments such as Azure, AWS, and Cloud Data Platforms (e.g., Snowflake, Synapse, Databricks). • Work closely with the sales team to formulate data solutions for prospective clients, assisting in the creation of project plans, timelines, and estimates. • Present technical solutions and project plans to customers, ensuring clarity and alignment with their business objectives. • Function as a senior technical resource during the implementation of projects, ensuring alignment with client expectations and maintaining high-quality standards throughout the project lifecycle. • Participate in code and architecture reviews, ensuring that data solutions adhere to high standards of performance, scalability, and maintainability. • Contribute to team and practice development by sharing knowledge, mentoring junior staff, and participating in continuous improvement initiatives.

Requirements

• 10+ years of experience designing and implementing data architectures, with a strong focus on cloud-based platforms (Azure, AWS). • Strong expertise in cloud data platforms(Snowflake, Synapse, Databricks); certifications preferred. • Familiarity with data engineering best practices, including ETL/ELT processes, data lakes, and data warehousing. • Ability to work collaboratively in distributed teams across multiple geographies. • Outstanding communication skills with the ability to engage with both technical and non-technical stakeholders. • Strong problem-solving and analytical skills, with attention to detail in designing and implementing complex data systems. • Flexibility and adaptability to work in dynamic environments, managing multiple priorities and meeting tight deadlines. • Experience designing data pipelines that support AI/ML workloads, ensuring that data is structured and processed for effective model training, evaluation, and deployment.