We are looking for a hands-on and business-savvy technical leader to join our Data & AI Practice as a Solution Engineer / Pre-Sales Manager / Technical Advisor.
This role sits at the intersection of technology, business consulting, and solution architecture helping clients modernize their data platforms, unlock AI potential, and achieve measurable business outcomes.
You will be responsible for owning the end-to-end pre-sales and solutioning process from opportunity qualification through solution design, estimation, proposal creation, and transition to delivery.
This position is ideal for a senior data professional with a blend of technical depth, consultative selling skills, and commercial awareness.
Locations:
- Europe
Requirements:
Technical Competencies
- 7+ years of experience in data-related roles (Data Engineer, Solution Architect, or Pre-Sales Engineer) within IT consulting, SI, or cloud technology environments.
- Strong hands-on understanding of modern data platforms:
- Databricks (Delta Lake, Spark, MLflow)
- Snowflake (architecture, performance optimization, cost control)
- Proficiency with Azure and/or AWS cloud data services (Synapse, Redshift, S3, Data Factory, Glue, etc.).
- Competence in at least one programming or scripting language (Python, SQL, Java, or similar).
- Familiarity with data governance, metadata management, and security frameworks.
- Understanding of how AI and ML can enhance data-driven solutions (e.g., predictive analytics, intelligent automation).
Business & Consulting Skills
- Proven experience building and presenting business cases, including ROI, TCO, and payback period analysis.
- Strong understanding of IT consulting project delivery models (fixed price, T&M, managed services).
- Excellent communication and presentation skills for executive and technical audiences.
- Track record of supporting sales and pre-sales teams through solutioning, estimation, and proposal development.
- Experience leading or co-leading client workshops, discovery sessions, or design sprints.
Soft Skills
- Strong consultative mindset able to balance business strategy with technical feasibility.
- Excellent English communication (technical and business); Spanish fluency is a significant advantage.
- Self-starter with high degree of accountability and attention to detail.
- Comfortable working in a matrixed organization and coordinating with global teams.
- Strong documentation and storytelling skills in PowerPoint (PPTX) and Word.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
- Certifications (any of the following are advantageous):
- Databricks Certified Data Engineer / Architect
- Snowflake SnowPro Core or Advanced
- Azure Solutions Architect Expert or Data Engineer Associate
- AWS Certified Data Analytics / Solution Architect
- AI/ML or Data Science certifications
Key Responsibilities:
1. Opportunity & Solution Ownership
- Lead the end-to-end pre-sales process for data and AI-related opportunities from initial business requirement clarification to final proposal submission.
- Collaborate with Business Development Representatives (BDRs), Sales Executives, and Account Managers to qualify opportunities and shape the solution narrative early.
- Translate client challenges into actionable data platform, analytics, and AI strategies.
- Ensure technical and commercial proposals are aligned with delivery capabilities and profitability targets.
2. Solution Architecture & Design
- Define high-level solution architectures using modern data and cloud platforms such as Databricks, Snowflake, Azure, and AWS.
- Design data modernization roadmaps, including ingestion, transformation, governance, and visualization components.
- Provide technical advisory on platform selection, architecture trade-offs, and best practices for data engineering, analytics, and AI adoption.
- Incorporate AI accelerators and automation frameworks into data solution offerings.
3. Estimation, SOW, and Financial Modeling
- Develop project estimations, resource models, and timelines, ensuring accurate and realistic proposals.
- Prepare and validate Statements of Work (SOWs) and commercial proposals.
- Calculate and communicate ROI, TCO, and P&L impact for proposed solutions, supporting clients business justification and investment decisions.
4. Client Engagement & Pre-Sales Enablement
- Support the sales cycle by participating in client meetings, workshops, ideation sessions, and executive presentations.
- Conduct discovery workshops and technical deep-dives to align proposed solutions with client strategy.
- Act as a trusted advisor for C-level, business, and IT stakeholders.
- Develop and maintain pre-sales assets presentations, one-pagers, reference architectures, and case studies.
5. Practice Development & Collaboration
- Collaborate with delivery and CoE (Center of Excellence) teams to ensure feasibility and scalability of proposed solutions.
- Capture client and market feedback to enhance solution offerings and go-to-market materials.
- Mentor junior engineers and solution architects.
- Contribute to thought leadership by creating whitepapers, webinars, and internal knowledge assets.
Why Join Us
- Opportunity to work across global clients and leading data platforms.
- Blend of technical innovation and strategic consulting.
- Collaborative culture with growth opportunities into Practice Leadership or Solution Architecture Management.
- Competitive compensation, hybrid flexibility, and a continuous learning culture.
What We Offer:
- Competitive salary;
- 100% remote opportunity;
- Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);
- Opportunities for professional growth and career advancement;
- Collaborative and innovative work environment;
- Paid time off, including holidays, vacation and sick leave;
- Benefits may vary by location and will be confirmed during the interview process.
Job ID: JR - 124398
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