Data Architect

About TMF Group

TMF Group is a leading provider of critical administrative services, helping clients invest and operate safely around the world. We provide legal, financial and employee administration through TMF Group’s teams in 120 offices.

KEY BUSINESS EXPERIENCE

Leading or contributing to complex systems integration projects with Data Warehouse design and build, master data management and BI outputs Understanding of Data Warehousing modelling terminology and techniques Ability to interpret and develop solutions against data model specifications Structured, semi-structured, and unstructured data processing SDLC and deployment between Development, Test/UAT and Production environments. Good understanding of quality assurance within a data warehouse context, with a focus on Data Quality. Strong SQL and T-SQL development experience Strong SSIS and Azure Data Factory experience Strong SSAS and Azure Analysis Services experience – Tabular and multi dimensional Azure DevOps CI/CD Data Integration tools such as Alteryx, SSIS, Mulesoft, informatica, cloudworks and the development of integrations between the above-mentioned applications. Report Writing tools such as SSRS, PowerBI, Anaplan, Cognos. Understanding of GDPR, infosec and cybersecurity risks and challenges. Formal change management, including requirements elicitation, specification documentation, project co-ordination and planning Expertise in System design and development required for business process. Having a thorough understanding of how IT interfaces with multiple functional groups within an organization. Ability to construct process models including data dictionaries and estimates. Able to test business applications from a business perspective to ensure that all client requirements are incorporated into the design. Experience with Private Equity (Investran, Allvue, eFront) Real Estate (Yardi, MRI), Credit servicing (WSO, Black Mountain, Sentry, Loan IQ) technology stacks will be beneficial.

CANDIDATE PROFILE

Min 4 years of experience in a similar role Experience in stakeholder management, ideally working with non-technical audiences and translating their requirements into Data Engineering workstreams Ability to work independently as well as in close partnership with a team Fluent in both written and spoken English.

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