What are the responsibilities and job description for the Senior Solutions Data Architect position at IntraEdge?
Job Description
Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as well as hands-on technical expertise in designing and building analytics solutions that support enterprise decision support, strategic insights and data science initiatives. In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the company's analytics technology roadmap, aligning information assets and analytics capabilities to achieve business objectives of strategic initiatives, programs and projects leveraging the powerful capabilities of a modern analytics platform. Essential Duties and Responsibilities :
- Drives the company's enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.
- Leverages knowledge of the organization's information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.
- Define strategies to operationalize analytics supporting capabilities in discovery, analysis, and reporting across business segments.
- Analyze, shape, and prioritize data and analytics technologies to business capabilities aligning to current requirements along with future needs without significant rework.
- Perform hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.
- Develops SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.
- Develops and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output / process changes and revise data models.
- Supports Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.
- Ensures accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.
- Partners effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.
- Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.
- Plan, design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.
- Act as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.
- Document and proficiently explain complex architectures to technical and functional peers and-as needed to other levels of the organization.
- Ability to support : translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.
- Work with other product team(s) to define data dictionary, data lineage and relationship metrics.
- Stays current on the latest technologies, trends and strategies.
Other duties as assigned. Job Requirements Qualifications :
Educational Requirements : This position requires a Bachelor's Degree in information technology, Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related field, or equivalent work experience.
