Job Title: Data Architect (C2)
Job Summary
The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions
Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best fit technologies (e.g., cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges
Provides data understanding and coordinate data related activities with other data management groups such as master data management, data governance and metadata management.
Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.
Essential Duties
- Design and develop conceptual / logical / physical data models for Enterprise scale data lake and data warehouse solutions
- Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, etc.
- Create functional & technical documentation e.g. data integration architecture documentation, data models, data dictionaries, data integration specifications, data testing plans, etc.
- Collaborate with business users to analyse and test requirements
- Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Architecture
- Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value,) ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level
- Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels
- Organised and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.
Education & Experience
- 5-10 years of Enterprise Data Modelling
- Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.)
- Experience with major database platforms (e.g. Oracle, SQL Server, Teradata, etc.)
- Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)
- 3-5 years of management experience required
- 3-5 years consulting experience preferred
- Bachelors degree or equivalent experience, Masters Degree Preferred
- Experience in data analysis and profiling
- Strong data warehousing and OLTP systems from a modelling and integration perspective
- Strong understanding of data integration best practices and concepts
- Strong development experience under Unix and/or Windows environments
- Strong SQL skills required scripting (e.g., PL/SQL) preferred
- Strong Knowledge of all phases of the system development life cycle
- Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data.
- Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, Google Cloud)
Preferred Skills & Experience
- Comprehensive understanding of relational databases and technical documentation
- Ability to analyse business requirements as they relate to the data movement and transformation processes, research, evaluation and recommendation of alternative solutions.
- Ability to transform business requirements into technical requirement documents.
- Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combines the two together.
- Can create documentation and presentations such that the they stands on their own.
- Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered.
- Ability to work independently on projects as well as collaborate effectively across teams
- Must excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are required for success
- Strong team building, interpersonal, analytical, problem identification and resolution skills
- Experience working with multi-level business communities
- Can effectively utilise SQL and/or available BI tool to validate/elaborate business rules.
- Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with the team to design effective solutions to business problems/issues.
- Understands and leverages a multi-layer semantic model to ensure scalability, durability, and supportability of the analytic solution.
- Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic stand-point.
- Demonstrated ability to serve as a trusted advisor that builds influence with client management beyond simply EDM
