Come work with our technology team, which is the backbone of our omnichannel insurtech company innovating insurance and we believe why not have fun while doing it. Come join a fast-paced, hardworking onsite environment at one of the most exciting data and technology opportunities in the country — rivaling top tech companies like Google and Microsoft. Here, your work can help change lives, especially your own
The Sr Data Architect will work to define and govern the data landscape for projects and initiatives under the guidance of the Sr Director of Data Engineering and Data Science. Taking Enterprise Standards and policies and adopting them for projects. As well working directly with project managers to deliver data architecture artefacts within the agreed timeframe, in addition to, collaborating with data analysts, developers and stakeholders to create and manage roadmaps for EDW/MDM solutions/integrations. Architect an Azure cloud-native enterprise data solution with emphasis on data integration, data governance, data quality and catering to reporting end use.
Position Responsibilities
- Provides expert-level consultation for the design and development of enterprise-wide data and information architecture.
- Defines data architecture standards. Participates in the global definition of information architecture principles, policies, and the application of industry best practices. Participates in the creation and maintenance of data architecture governance and standards documentation.
- Works with functional business partners to ensure appropriate terminology is applied to metadata.
- Provides guidance to all aspects of the solution delivery cycle. Responsible for tollgate assessment and reviews. Ensures continual maintenance of high quality, timely and standardised data.
- Participates in the development and implementation of the data governance and master data management plan. Ensures designs meet all regulatory, industry, compliance and industry best practice procedures.
- Consults project teams on data architecture policies and best practice procedures.
- Facilitates, delivers, advocates for and supports all aspects of the EDW & MDM programs within the global application landscape.
- Creates conceptual and logical data models using industry standard modelling tools. Facilitates the transformation from logical to physical design and implementation. Provides guidance in the design of complex modelling patterns and use of established tool kits.
- Resolves complex systems landscape integration and design challenges within Application Development.
- Implements and evangelises the metadata management, design, and delivery strategy.
- Creates, maintains, identifies gaps, and monitors the Data Architecture framework for stability, awareness, source to target mapping, and potential application development integration & design failure.
- Supports MDM plan and direction toward a single version of truth.
- Facilitates the automation, implementation, and integration of Data Architecture within the solution delivery life cycle.
- Follows all Information Architecture policies, principles, and standards.
- Partners with, and generates evidence for, the Distributed Change Management Project Manager during compliance and security management reviews.
- Provides instruction, training, and expert guidance to staff members on all aspects of existing and new Data Architecture techniques, best practice strategies, and technologies.
- Using effective communication and presentation skills, influences business decisions with technical opportunities and risk management. Motivates others
- Shows a strong ability to work successfully in a matrix management organisation.
- Special projects as assigned or directed.
Required Skills, Knowledge and Experience
- 5+ years of systems and technical architecture analysis, design, implementation, and support of manual/automated database systems and technical architectures
- Must have Azure data factory experience Working in an Agile framework as user stories would be assigned from multiple agile teams
- Experience in cloud data warehouse solutions such as azure synapse, snowflake and databricks is a plus.
- Has experience delivering data artefacts in support of large-scale data warehouse and business intelligence solutions
- Has the ability to communicate and formally document all aspects of the job requirements. Exhibits a high energy, strategic thinking, results oriented, global collaborative approach with highly tuned listening and communication skills. Self-confident. Is able to make themselves heard
- Hands-on experience in data modelling and design, data flow diagramming, data warehousing and business intelligence, application and analytical reporting tools and techniques, service oriented data delivery, and global master data management programs
- Knowledge of industry standard middleware, ETL, master data hub, and service oriented architecture, design and delivery solutions
- A deep understanding of the use and hands-on experience with ERWin for application (OLTP) and data warehouse (OLAP) data models and implementation, or industry standard modelling tool
- General understanding of common development languages and frameworks within the Systems development toolset
- A strong domain knowledge of a global insurance business a plus
- Bachelor's Degree or equivalent job experience
Technical skills as follows:
Essential
- Erwin Data Modelling v9 (or similar)
- SQL (3 years minimum)
- Data Profiling Toolset
- Metadata management toolset such as Collibra & Alation
- Must have Azure data factory experience and Synapse
Ideal
- TOAD
- Any Data Discovery toolset
- TOGAF