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Finance Transformation Data Architect

5 months ago

Bristol, United Kingdom Ascent Full time

Join Ascent and help us do extraordinary things for our customers


We are Ascent and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. Ascent is seeking someone truly passionate about all things data to take on a new role in our expanding Data and AI team. A principal data architect with data management governance experience to consult and work with customers to develop their data ecosystems, leveraging typical Microsoft modern cloud data platform technologies like Databricks, Synapse and Fabric, and Purview.

The role will include typical data architecture activities across ingestion, engineering, analytics and visualization, and specialise in expanding our capabilities in data management and governance, establishing a reuseable process and framework, assisting our customers to expedite and improve organization data maturity through data management across key areas, including data modelling, metadata management, data classification, lineage, security, master data management, data quality, governance and compliance.


A passion for modern data architecture and management.
Data platform and/or mesh architecture.
Data management, governance and compliance.
Microsoft-centric Data platform (Databricks, Synapse or Fabric).
Microsoft Purview.
A broad background utilising various Microsoft Data technologies.


Familiarity with Data *Ops processes like DataOps, AIOps, and MLOps.
Hands-on data engineering skills.
Exposure to working with data scientists.
Understanding/interest in AI / Generative AI and how this is shaping modern data ecosystems.


At Ascent we promote a healthy work-life balance by offering flexibility in where you work. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.