ANALYTICS ARCHITECT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: July 29, 2024 - The Analytics Architect is adept at selecting cost-effective architectures balancing capability and risk to meet business objectives. Skilled in translating business requirements into technical solutions, proficient in Azure Data and Analytics services. Demonstrated success in managing digital analytics programs and system integration projects across geographically dispersed teams, with expertise in Lambda and Kappa architecture patterns and DevOps/DataOps practices.
Summary of Analytics Architect Knowledge and Qualifications on Resume
1. BS in Computer Science with 4 years of Experience
- Experience in designing and building modern analytics solutions and data platforms.
- Excellent knowledge of Microsoft Azure Platform and PaaS and SaaS services relevant to data platforms and data analytics.
- Very good understanding of data modeling, building layered architectures, and data lake concepts.
- Solid knowledge of integrating common systems (e.g. Dynamics 365, SAP ECC and S4/Hana, relational databases).
- Hands-on experience in analyzing data and applying data science methodologies.
- Extensive experience with Power BI (visualization, DAX, data integration).
- Very good Microsoft Office skills (Excel, PowerPoint, Word).
- Ability to establish relationships with peers virtually.
- Ability to explain complex analytical methodologies and concepts in non-technical language.
- Experience designing and solutioning Modern Data Platforms and solutions incorporating AI and Advanced Analytics.
- Exceptional written and verbal communication and presentation skills.
- Experience partnering on analytics-related sales pursuits.
2. BS in Data Science with 3 years of Experience
- Proven client experience in selecting architecture that services clients’ needs with the balance of costs, capability, and risk to meet clients’ business objectives.
- Demonstrated experience in turning business use cases and requirements into technical solutions.
- Experience in business process mapping of data and analytics solutions.
- Strong understanding of the value proposition(s) associated with AI, Data, PaaS (Azure PaaS), and DevOps/DataOps.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- Ability to apply methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
- Experience in successfully solving digital analytics programs and system integration projects across multiple work streams and geographically dispersed teams.
- Management responsibilities directly and indirectly with globally dispersed teams, strong team collaboration, and experience working with remote teams.
- Knowledge of Lambda and Kappa architecture pattern, Master Data Management (MDM) and Data Quality tools and processes, DevOps/DataOps processes and Infrastructure as code fundamentals
3. BS in Information Technology with 5 years of Experience
- Strong passion for software architecture, governance, development processes, technical details, and technologies
- Relevant experience as a Software Architect
- Experience in designing solutions for high performance, scalability, and reliability; knowledge in Microservices and SaaS architecture, Web Services/SOA Connectivity
- Proficient in OOAD and software technologies including Java (Client-side, Server-side, Security APIs, Web development, Spring/MVC/Spring Boot, JSP/Servlets, OSGi, Hibernate), Workflow, BPM platforms, Business rules frameworks, Enterprise Service Bus (ESB), Rest/JSON, SOAP/XML, Oracle (Exadata, etc.), Single Sign-On (SSO), HTML5, Performance Tuning/Profiling, Testing frameworks
- Experience with and an appreciation of the benefits of software engineering practices and design such as coding standards, agile (scrum) methodologies, and test-driven development
- Excellent communication, negotiations, presentation, organizational, interpersonal, programming, troubleshooting, analytical and problem-solving skills.
- Enjoy working in a dynamic, fast-moving, and challenging environment
- Expertise in driving complex design, configuration, and implementation of Google Analytics solutions without significant help from others
- Experience with tag management systems (DTM, GTM, Tealium)
- Proven ability to configure and use data backup tools
- Expert on at least one web analytics platform (Adobe, Google)
- Basic understanding of JavaScript, HTML, and CSS
- Strong communication skills and willingness to learn new things