Data Architect in Maidstone

Data Architect in Maidstone

Maidstone Temporary 60000 - 80000 £ / year (est.) Home office (partial)
BioTalent

At a Glance

  • Tasks: Design and enhance enterprise data architecture for global platforms in a pharmaceutical setting.
  • Company: Join a leading pharmaceutical company focused on innovative data solutions.
  • Benefits: Flexible hybrid or remote work, competitive pay, and potential contract extension.
  • Other info: Opportunity to mentor junior staff and collaborate with global teams.
  • Why this job: Make a significant impact on data strategy while working with cutting-edge technologies.
  • Qualifications: Degree in relevant field and strong experience in data architecture and modelling.

The predicted salary is between 60000 - 80000 £ per year.

Experienced Data Architect needed to support and evolve enterprise data architecture across global platforms. The role focuses on building scalable, compliant, and high-performing data environments aligned with business strategy within a pharmaceutical environment. This is a 6 month contract, hybrid or remote flexibility (depending on location) with a chance of extension.

Key Responsibilities

  • Develop and enhance enterprise data architecture
  • Analyse and optimise data structures and performance
  • Work with global data models to map and transform data
  • Design solutions to accelerate data processing (e.g. automation, ML)
  • Support database design, requirements, and technical specs
  • Contribute to data governance and compliance
  • Collaborate with product and engineering teams
  • Provide technical guidance and mentor junior staff

Requirements

  • Degree in a relevant field
  • Strong experience in data architecture and modelling
  • Experience with data modelling tools (e.g. ERwin)
  • Solid SQL skills
  • Knowledge of data warehousing, ETL, MDM, and BI
  • Strong communication and stakeholder management

Preferred

  • Experience with big data tools (e.g. Hadoop, Databricks, Snowflake)
  • Familiarity with DevOps, CI/CD, Java/Scala
  • Knowledge of semantic data models or ontologies
  • Background in healthcare or life sciences

Data Architect in Maidstone employer: BioTalent

As a leading player in the pharmaceutical sector, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our commitment to flexible working arrangements, including hybrid and remote options, empowers our Data Architects to thrive while contributing to impactful projects that shape the future of healthcare. Join us to be part of a collaborative team where your expertise will not only be valued but also nurtured through continuous learning opportunities.
BioTalent

Contact Detail:

BioTalent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect in Maidstone

✨Tip Number 1

Network like a pro! Reach out to your connections in the data architecture field, especially those in the pharmaceutical sector. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects and achievements in data architecture. This is your chance to demonstrate how you've optimised data structures and designed solutions that align with business strategies.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and data modelling tools. Be ready to discuss how you've contributed to data governance and compliance in previous roles. Confidence in your technical knowledge will impress potential employers!

✨Tip Number 4

Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Data Architect in Maidstone

Data Architecture
Data Modelling
SQL
Data Warehousing
ETL
MDM
BI
Data Governance
Automation
Machine Learning
Big Data Tools
Hadoop
Databricks
Snowflake
Stakeholder Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, modelling, and any relevant tools you've used. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities listed in the job description.

Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in SQL and data modelling tools like ERwin. If you have experience with big data tools or data governance, make sure to include that too. We love seeing those skills!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Good luck!

How to prepare for a job interview at BioTalent

✨Know Your Data Inside Out

Make sure you brush up on your data architecture knowledge, especially in the context of the pharmaceutical industry. Be ready to discuss specific projects where you've developed or enhanced enterprise data architecture, and how your solutions aligned with business strategies.

✨Showcase Your Technical Skills

Prepare to demonstrate your expertise with data modelling tools like ERwin and your SQL skills. You might be asked to solve a problem on the spot, so practice common data structure optimisation scenarios and be ready to explain your thought process clearly.

✨Highlight Collaboration Experience

Since the role involves working closely with product and engineering teams, think of examples where you've successfully collaborated in the past. Be prepared to discuss how you’ve provided technical guidance and mentored junior staff, as this shows your leadership potential.

✨Stay Current with Big Data Trends

If you have experience with big data tools like Hadoop or Snowflake, make sure to mention it! Even if it's not a requirement, showing that you're familiar with these technologies can set you apart. Discuss any relevant projects where you’ve implemented automation or machine learning to accelerate data processing.

Data Architect in Maidstone
BioTalent
Location: Maidstone

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