Senior Data Solutions Architect
Senior Data Solutions Architect

Senior Data Solutions Architect

Full-Time 48000 - 72000 £ / year (est.) No home office possible
Transform

At a Glance

  • Tasks: Lead data architecture projects and design innovative solutions for clients.
  • Company: Transform, a fresh alternative to Big Consulting with a focus on impactful change.
  • Benefits: 28 days holiday, flexible benefits, and enhanced parental leave.
  • Why this job: Make a real impact by solving complex challenges in diverse sectors.
  • Qualifications: Experience in data architecture, cloud technologies, and team collaboration.
  • Other info: Join a culture of inclusivity and continuous learning in a dynamic environment.

The predicted salary is between 48000 - 72000 £ per year.

Join to apply for the Senior Data Solutions Architect role at Transform.

Type: Full time, permanent

Location: London or Manchester

WoW: Hybrid, 1 to 2 days per week in the office.

About us

We’re Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods.

The Role:

Transform are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities. The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams.

Key Responsibilities:

  • Focus on data architecture design, data modelling and schema leveraging data architecture best practices.
  • Helping to scope and define the team and client’s enterprise data management solution from conceptual, logical and physical data models and schemas.
  • Working with clients to understand needs, and best implement that with our available technology solutions.
  • Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering.
  • Constantly looking at new technologies and approaches that improve what we do.
  • Managing quality of outputs.
  • Planning and resourcing multiple projects simultaneously.
  • Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes.
  • Working with a range of data sources such as CRM, sales, research, and HR data.
  • Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation.
  • Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms.
  • Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams.

Key Skills/Experiences:

  • Experience with any of the following: Azure, AWS and GCP cloud database technologies.
  • Design optimum data models, data dictionaries and metadata systems to support business needs.
  • Define data architecture standards for the organisation to support client needs.
  • Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture.
  • Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark.
  • Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms.
  • Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir.
  • Managing and motivating teams and individuals.
  • Understanding and application of statistical and analytical methods.
  • Ability to lead, and to work well as part of, a team using the agile methodology.
  • Experience with Data Analysis and governance.

Our culture is built on:

  • Being one team; looking out for each other as a team.
  • The world never stops changing and we’ll never stop learning.
  • Integrity is everything; we’re honest with each other and with our clients.
  • Diversity is our superpower; everyone’s story is different, and we celebrate differences.
  • We’re all in; we take on tough, complex challenges with lots of moving parts and we’re committed to the work, our clients and each other.

Our benefits include:

  • Holiday entitlement, 28 days with the option to buy/sell up to 5 days.
  • Day off (on or in the week of) your birthday.
  • Pension eligibility, up to 5% matched contributions.
  • Life assurance.
  • Enhanced maternity and enhanced paternity and shared parental leave.
  • Cycle to work & electric car schemes.
  • A range of other benefits from our flexible benefits package.

At Transform we believe in a culture of inclusivity, we celebrate difference and believe that diversity makes our business more relevant, our work more meaningful and our people more empowered. We’re committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities.

Please do let us know if you need any adjustments now or at any point in the recruitment process.

Use of AI in CV and Interviews: Whilst we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV.

We look forward to getting to know the real you!

Senior Data Solutions Architect employer: Transform

Transform is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to learn and grow while tackling complex challenges. With a strong focus on employee well-being, we offer generous benefits such as 28 days of holiday, flexible working arrangements, and opportunities for professional development, all within the vibrant cities of London and Manchester. Join us to be part of a dynamic team that values diversity and innovation, making a meaningful impact in the public sector and beyond.
Transform

Contact Detail:

Transform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Solutions Architect

✨Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for those interviews! Research Transform and understand their projects. Tailor your answers to show how your skills can help them tackle their challenges.

✨Tip Number 3

Showcase your projects! Bring examples of your work to the interview. Whether it’s data models or architecture designs, let them see what you can do.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Transform team.

We think you need these skills to ace Senior Data Solutions Architect

Data Architecture Design
Data Modelling
Schema Design
Data Management Frameworks
Client Needs Analysis
Enterprise Data Management Solutions
Cloud Database Technologies (Azure, AWS, GCP)
RDBMS, SQL and NoSQL Databases
Data Lakes and Data Warehousing
ELT/ETL Tools (Databricks, Azure Data Factory, SSIS, Talend, Informatica, Palantir)
Statistical and Analytical Methods
Agile Methodology
Team Management and Motivation
Data Governance

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Senior Data Solutions Architect role. Highlight relevant experience with data architecture, modelling, and any specific technologies mentioned in the job description. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data solutions and how your background makes you a perfect fit for Transform. Don’t forget to mention our culture and values – we love seeing candidates who resonate with our mission!

Showcase Your Projects: If you've worked on projects involving data lakes, CDPs, or similar, make sure to include them in your application. We’re keen to see real examples of your work and how you’ve tackled challenges in the past. It’s all about demonstrating your impact!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Transform. Let’s get started on this journey together!

How to prepare for a job interview at Transform

✨Know Your Data Inside Out

As a Senior Data Solutions Architect, you need to be well-versed in data architecture and modelling. Brush up on your knowledge of RDBMS, SQL, NoSQL databases, and cloud platforms like Azure, AWS, and GCP. Be ready to discuss specific projects where you've implemented data solutions and how they benefited the client.

✨Understand the Client's Needs

Transform values understanding client requirements. Before the interview, research the types of clients they work with, especially in the public sector. Prepare examples of how you've successfully scoped and defined enterprise data management solutions that align with client needs.

✨Showcase Your Team Spirit

Collaboration is key at Transform. Be prepared to share experiences where you've led or worked as part of a team using agile methodologies. Highlight how you motivate others and contribute to a positive team culture, as this aligns with their values of being one team and looking out for each other.

✨Stay Current with Technology Trends

The field of data architecture is always evolving. Familiarise yourself with the latest technologies and approaches that can improve data management and architecture. During the interview, mention any new tools or methods you've explored and how they could benefit Transform's operations.

Senior Data Solutions Architect
Transform

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