Description
Link Technologies is currently looking for an Enterprise Data Architect for a long-term contract position in Norwalk, CT.
The Enterprise Data Architect is responsible for owning and driving the technical vision and execution of the roadmap of core data platforms in service of enabling the businesses transformation efforts. The individual is a senior level technologist who has deep knowledge in designing and building enterprise level systems. This is a been there, done that technologist who thrives on driving efforts to completion while utilizing best in breed technologies and methodologies. The Enterprise Data Architect must be a visionary, while managing expectations across a wide span of players and ensuring execution for the core data infrastructure of the platform.
Responsibilities
Holds overall, senior-level technical responsibility for planning and design of the enterprise Data Architecture domain to ensure alignment of total Enterprise Architecture with business strategy - tools, guidelines, principles, policies and governance.
Maintains accountability for establishing the Data Architecture vision and championing efforts to reach that vision. Serves as the expert and authority by defining, implementing and enforcing all data integration standards and documentation.
Continually reviews and suggests improvement to the Data Architecture processes, policies, and vision and explores new and emerging technologies. Leads the investigation and adaptation of beneficial Data Architecture technologies and tools.
Leads strategy, development and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores and Data Marts across the enterprise.
Contributes in developing transparent and well understood enterprise data governance processes, rules and technologies to support them.
Translates business requirements into data design requirements and subsequent data models and patterns.
Provides deep expertise in enterprise data and information management methods and standards.
Promotes data sharing, consistency and reuse. Manages reviews of data quality deliverables of all phases and enhancements.
Collaborates with business units and data owners to successfully implement and maintain an enterprise level business analytics and data warehousing solution. Identifies and promotes best practices for data modelling within information areas, providing oversight for all activities related to data cleansing, data quality and data consolidation using industry standard data modelling methods and processes.
Ensures that operational and analytical data warehouses are able to support all business requirements for business reporting across the organization.
Communicating the overall customer data architecture to both technical and business constituencies.
Develops guidelines and best practices to ensure data standardization and consistency.
Leads design of exception handling and data cleansing/standardization procedures and business transformation rules and logic.
Position Requirements
- Deep experience in Data Architecture, Data modelling, Database design, Computer programming
- Experience in delivering enterprise level data solutions or architecture projects (warehousing, integration, governance)
- Experience with BI solution such as IBM DB2, Oracle, SAS, SOA
- Experience in assessing and closing transactional and business intelligence/analytics data gaps in large scale heterogeneous environment where both packaged software and internally developed software exists
- Experience defining and enabling Service Oriented Architecture (SOA)
- Experience with one or more of the following database engines: Teradata, Netezza, Oracle, SQL Server
- Experience with one or more of the following ETL tools: SAS, Informatica, Datastage, Ab Initio
- Experience with data modelling tools such as Erwin (or equivalent)
- Experience with one or more of the following BI Reporting tools: SAS, Cognos, Business Objects, etc.
- Deep understanding of core ETL architectural principles such as modularity, resiliency, parallelization and table driven business rules
- Deep understanding of information delivery architecture including the creation of abstraction layers, SQL query paths and optimization, report level calculations and end user reporting architecture.
To apply, please send your Resume in MS Word format and reference Job ID #3286. We look forward to working with you!