CSS is seeking an experienced Senior Solutions Architect to join our client's enterprise data team. This candidate will establish an architecture runway ahead of development for multiple agile teams.
Responsibilities
- Responsible for the architectural design, integration, and deployment of the enterprise's overall systems.
- Design and implement system solutions that meet user/client needs, cost constraints, and integration requirements with existing applications, systems, or platforms.
- Champion data strategy across the organization, working with business users and data teams to design, document, review, and negotiate solutions that align with strategic business and technology goals.
- Lead a cross-functional team responsible for the operational excellence of the data platform, including change management, SDLC, and CI/CD.
- Develop and implement a technical roadmap for the continuous improvement of the data platform, encompassing tech stack upgrades, cost optimization, and compliance.
- Researches, identifies, selects, and tests technology products required for solution delivery.
- Establishes, implements, and documents the technology integration or migration strategies.
- Provides governance and oversight as a senior member of the Architecture Review Board.
- Staying on top of the industry trends and new technologies forgiven system architecture.
Qualifications
- 10+ years of total IT and Data experience
- 6+ years of performing data solution design and data integration is required.
- Bachelor’s Degree in Computer Science or relevant discipline.
- Experience building and deploying analytic solutions that drive business impact for Sales and Marketing organizations in enterprise settings.
- Deep understanding of public cloud computing providers (AWS, Azure, GCP) and data and analytics platforms (Snowflake, Databricks, etc), and how to leverage these technologies to build and maintain high-performance data and analytics solutions. Experience with the AWS ecosystem is a significant advantage.
- Exceptional communication, presentation, and interpersonal skills, with the ability to clearly and concisely communicate complex data insights to a variety of stakeholders.
- Demonstrated ability to thrive under pressure and function effectively in a fast-paced, agile work environment.
- Strong judgment and decision-making skills, with the ability to make quick and informed decisions under pressure.
- Meticulous attention to detail and accuracy, with a commitment to delivering high-quality work.
- Ability to collaborate effectively with others and build consensus to achieve common goals.
- Passion for technology and a commitment to continuous learning.
- Experience implementing operational best practices such as monitoring, alerting, and metadata management.
- Experience managing, measuring, and improving data quality in a data warehouse environment.
- Proven ability to identify and communicate data-driven insights that drive business impact.
- Experience working in an agile development environment, with a focus on delivering value to customers early and often.
- Experience working in large teams using CI/CD practices to automate the development and deployment of software.
- Expertise in Data Integration & Analytic Methodologies, and Data Modeling.
- Strong knowledge of REST API design, Python, PySpark.
- Working knowledge of Microservices and working with data in relational & No-SQL databases, caching strategies, etc.
- Progressive experience in new technology, programming, application analysis, and security/disaster recovery.
- Knowledge of the process and concepts involved in systems implementations, including conceptual design, work process evaluation, cost assessment for development and implementation.
- Must have previous Agile, Scrum or SAFe experience.
Preferred
- MS degree in Computer Science or relevant discipline