At a Glance
- Tasks: Join our team as a Data Specialist, bridging technical expertise and client needs.
- Company: Version 1 is a leading tech consultancy with over 28 years of experience and award-winning culture.
- Benefits: Enjoy flexible working, profit-sharing, career development, and wellness initiatives.
- Why this job: Be at the forefront of data solutions, collaborating with top brands and shaping impactful strategies.
- Qualifications: Knowledge of modern data architectures and strong communication skills are essential.
- Other info: This role offers significant growth opportunities in a fast-paced, dynamic environment.
The predicted salary is between 48000 - 84000 £ per year.
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. We have several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Role Overview
The Data Specialist is a pivotal role that bridges the gap between the technical depth of our data capabilities and the strategic needs of our clients during pre-sales and early delivery phases. As a member of the Solution Leadership Team, you will support business development efforts by contributing technical expertise to pre-sales conversations, creating compelling bid and proposal content, and facilitating seamless handovers to delivery teams. This role is ideal for someone who thrives on collaboration, storytelling with data, and being at the forefront of shaping data solutions and strategy that meet real-world client needs.
Key Responsibilities
- Pre-Sales Engagement Support: Collaborate with Sales and Data Offering Leads to understand client needs, shape associated strategies, craft tailored data solution narratives, and contribute technical insight to client conversations. Provide subject matter expertise during early-stage discussions, workshops, and discovery engagements. Participate in qualification, shaping, and scoping of new opportunities.
- Proposal Writing & Solution Design: Own and contribute to the technical and solution-oriented components of proposals, RFP responses, and client presentations. Ensure that proposed data solutions are fit-for-purpose, aligned to relevant strategies and best practices, and clearly communicated. Support the creation and refinement of reusable templates, boilerplate content, and accelerators.
- Collaboration with Delivery Teams: Act as a liaison between pre-sales and delivery to ensure smooth handover of solution context, risks, assumptions, and customer expectations. Participate in early-stage delivery activities (e.g., onboarding, kick-off, or workshops) to support continuity and establish trust with the client. Maintain visibility on engagements to provide ongoing ad-hoc support where necessary.
- Knowledge Management & Continuous Improvement: Capture lessons learned from pre-sales efforts and delivery outcomes to refine approaches and improve future engagements. Contribute to the evolution of the Data Practice by maintaining knowledge and promoting awareness of emerging tools, platforms, and methods in the data space. Share knowledge across the organisation through internal communities, collateral, and training support.
- Strategic Mindset: Contribute to the shaping of Version 1’s Data go-to-market strategy by identifying opportunities for growth across technologies, sectors, and partnerships. Support the Data Sales Specialist and Data Lead in recognising emerging vendors and strategic plays that align with client needs and Version 1 capabilities.
Qualifications
- Data Solution Knowledge: Working knowledge of modern data architectures, vendor data platforms (e.g., Azure, AWS, GCP), and data disciplines (e.g., engineering, data lakes, data warehousing, analytics, data science, machine learning and governance). Experience shaping or delivering data solutions in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents.
- Proposal & Communication Expertise: Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of contributing to high-quality proposals and solution narratives in response to client needs.
- Client-Facing Collaboration: Comfortable interacting directly with clients and internal stakeholders at various levels. Ability to understand, interpret, and translate customer requirements into viable solutions and impactful content.
- Teamwork & Handover Agility: Proven ability to work collaboratively across sales, pre-sales, and delivery teams. Skilled at documenting, transferring, and maintaining continuity of solution knowledge across phases of the client journey.
- Initiative & Adaptability: Self-starter who thrives in a dynamic environment and proactively seeks opportunities to add value. Able to juggle multiple priorities, work under pressure, and manage ambiguity in a fast-paced setting.
- Strong Networking: Skilled in building and maintaining professional relationships with clients, partners, and internal stakeholders. Demonstrated ability to foster collaboration and open up new opportunities through proactive engagement within partner ecosystems and industry networks.
Additional Information
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme. Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work-life balance. Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme. Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies. Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
And many more exciting benefits… drop us a note to find out more.
Pre Sales Data Architect employer: Version 1
Contact Detail:
Version 1 Recruiting Team
laura.cowan@version1.com
StudySmarter Expert Advice 🤫
We think this is how you could land Pre Sales Data Architect
✨Tip Number 1
Familiarise yourself with the specific data technologies mentioned in the job description, such as Azure Fabric, SQL Server, and Snowflake. Having a solid understanding of these platforms will allow you to engage more effectively during pre-sales conversations.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with consultancy roles. Attend industry events or webinars to build connections that could provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your storytelling skills with data. Think of examples where you've successfully communicated complex data solutions to clients, as this is a key aspect of the role and will demonstrate your fit for the position.
✨Tip Number 4
Research Version 1's recent projects and partnerships, particularly with companies like Microsoft and AWS. Understanding their strategic direction will help you align your discussions with their goals during the interview process.
We think you need these skills to ace Pre Sales Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Pre Sales Data Architect position. Understand the key responsibilities and qualifications required, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data solutions, pre-sales engagements, and any relevant technologies mentioned in the job description, such as Azure, AWS, or Snowflake. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in data architecture and how it aligns with Version 1's mission. Make sure to express your enthusiasm for the role and how you can contribute to their success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for this role.
How to prepare for a job interview at Version 1
✨Understand the Role
Before the interview, make sure you thoroughly understand the responsibilities of a Pre Sales Data Architect. Familiarise yourself with the key technologies mentioned in the job description, such as Azure, AWS, and Snowflake, so you can discuss how your experience aligns with their needs.
✨Showcase Your Communication Skills
As this role involves articulating complex data solutions to both technical and non-technical audiences, practice explaining your past projects in simple terms. Highlight your ability to create compelling narratives around data solutions during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle client interactions. Prepare examples from your previous experience where you successfully shaped data solutions or collaborated with sales teams to meet client needs.
✨Demonstrate Your Collaborative Spirit
Version 1 values teamwork, so be ready to discuss how you've worked effectively with cross-functional teams in the past. Share specific instances where your collaboration led to successful project outcomes or improved client relationships.