Our Calgary client is looking for a Senior Enterprise Data Architect to Develop Strategy and Road Maps that Support Overall Data Strategy.
Sets strategic directions to drive data architecture and evolution for enterprise
Defines target enterprise data architecture and roadmap to achieve completion
Ensures enterprise goals for data architecture are met by providing needed leadership, direction & processes
Evaluates local domain data solutions to ensure adherence to enterprise data architecture plan
Maintains the current state data architecture including data flows, systems of record and enterprise data models
Develops efficient technology systems that meet the future technology needs
Drives quality and capabilities of data technologies through the use of strong architectural governance, design oversight and technology investment advice
Ensures architecture system is elastic to adapt to next-generation technologies and future demands
Defines enterprise data models to ensure cross domain data integration
Evaluates technology and vendor selection choices as part of the target data architecture build
Identify the impact of external changes on enterprise program business requirements
Supports the creation of a data-centric culture
Champions data-centric culture across the organization
Participates in Data Council, providing perspective on enterprise data architecture priorities
Educates and coaches on fundamental aspects of data architecture
Required Skills, Experience, Qualifications and Attributes :
A university degree in engineering or computer science or a related discipline, a Masters degree in a technical field is an asset.
A minimum of 10 years of experience; including experience leading enterprise-wide data architecture projects and vision to design a target future state architecture.
Extensive expertise and hands on experience in the fields of data quality, data profiling, data security, data modelling, reference data and master data management, and data migration.
Deep understanding of architecture and implementation (setup, configuration and performance tuning) of data platforms and infrastructure.
Comprehensive understanding of relational and warehousing database technology working with at least one of the major database platforms, preferably Oracle.
Detailed knowledge of big data processing frameworks and techniques such as HDFS, Map / Reduce, Storage formats (Avro, Parquet), SQL on Hadoop (Hive, Impala, Presto, Drill), Stream processing.
Ability to be hands-on in work and analysis, operationally involved.
Outstanding analytical and conceptual skills; thinks strategically end-to-end while remaining conscious of daily business challenges.
Strong communication, conflict management and negotiation skills with the ability to build trust and secure buy-in from stakeholders at all levels of the organization.
Leverages cross-functional working teams; proven ability to implement a culture of transparency, open communication, and collaboration among teams.
Flexible, creative, proactive, driven and productive. Able to work under pressure and willing to travel.
Architecture Data Modelling 8 - 10 years Enterprise Architect 8 - 10 years Business Intelligence Data Scientist 8 - 10 years Please outline your most recent experience as an Enterprise Data Architect building road maps and strategy. (8 - 10 years)