Data Architect

Glasgow, Scotland, United Kingdom

Full Time Mid-level / Intermediate
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Encompass Corporation
Powered by award-winning automation and unrivalled global data access, Encompass offers AML and KYC due diligence software on demand.
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About Encompass

Encompass is the creator of Know Your Customer (KYC) automation for major financial and professional service firms globally. It is a provider of simultaneous, real-time access to multiple sources of global company and person data. By using robotic search to discover everything a KYC policy demands, Encompass delivers more efficient processes and faster, safer regulatory compliance, resulting in lower costs and superior risk management.

With offices in Glasgow, Sydney, London, Belgrade, New York and Singapore, we are a rapidly growing international company offering a chance to be part of our success - read on if you think you’re up for the challenge…

About the Role

Are you an expert data modeller who created corporate models from scratch in the past? Are you an SME in messaging platforms and data exchange principles? Have you architected and delivered meta-data and master data management solutions? If so, we would like to talk to you.

We are looking for someone to ultimately help us design, create and implement a central master data model for the business, so that it can be used across a new messaging backbone, and ultimately into APIs and storage.

The goal is to have a central, versioned data model that we can document, maintain and grow. As a Data Architect, you will oversee the transition to a new data model and messaging infrastructure that will fit the entire business. Working with and validating data artefacts and plans ready for Proof of Value increments, you will help drive the initiative to deliver substantial data value for Encompass.

You will also be expected to provide accurate advice on data architecture best practice, patterns and principles, ensuring that our data-driven initiative continually aligns to business outcomes, and our teams are guided by you on this journey.

We currently use a modern tech stack, which is mainly composed of Java 8/11, ES9, AngularJs, React, Spring Framework/Boot, Micro-services, MongoDB, Docker, Kubernetes, AWS ecosystem, Auth0, ActiveMQ and Tomcat8.

Requirements

Responsibilities & Duties

Day to day, this means you will:

  • Own the implementation and support governance of the data model and messaging process
  • Build and architect the master data model
  • Drive refinements to our data transformation processes
  • Collaborate and communicate with the relevant stakeholders (in Engineering, Data Management and Product)
  • Advise on the exchange of data between systems on the messaging backbone
  • Define and maintain ETL streaming processes through visual tools or programmatically (preferably in Python)
  • Support the management team to produce and maintain policies for information security covering; data architecture, access controls, networks, secure data processing, secure configuration management and development
  • Contribute to data management policies and practices, the business continuity, disaster recovery and backup policies
  • Support APIs & integration management, versions and releases
  • Utilise a data modelling tool to be able to capture the current state of the data model as well as visualise and report on this
  • Utilise data architecture best practice as well as industry standard practises and processes in diagramming, data architecture development, data modelling, deduplication, master-data management etc.
  • Advise and mentor colleagues; share information and documentation continuously
  • Work closely with the wider Architecture team, continually refining the Enterprise Data Architecture capability


Qualifications & Experience

To succeed, you must have:

  • A Bachelor’s or master’s degree in computer/data science technical or related experience
  • Experience in SQL and NO-SQL databases, structured and unstructured data, ETLs and data ingestion protocols
  • Experience with data mapping processes and tools, automation of mapping data between APIs, messaging backbones and storage mediums, while managing schema change and updates
  • Experience with data warehousing, data lakes and enterprise big data platforms in multi-data-centre contexts
  • Excellent knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) required
  • Experience of Kafka, and knowledge of tools such as Avro, NIFI, Spark and Scala
  • Experience in a senior role, of equivalent responsibility, managing data model and transformations of existing data processes into properly modelled implementations
  • Taken companies through data modelling and transformation exercises and can talk through the problems along the way, as well as the benefits the companies received
  • The ability to be a thought leader in your field, helping drive the data narrative internally, and externally with our clients

Benefits

We offer a rewarding and challenging place to work, a transparent and collaborative culture and as we grow as a business our benefits package will grow with us. Below are some of what we currently offer:

  • Staff pension plan
  • Company wide bonus
  • Participation in our market leading share options scheme
  • Adult approach to flexible working/remote working (post Covid)
  • Full access to Udemy for online training
  • Allocated L&D budget for employees
  • Paid Volunteering Leave programme
Job region(s): Europe
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