Solution Engineer, Data & AI

Posted 12 Days Ago
Be an Early Applicant
Hiring Remotely in Copenhagen, Capital, DNK
Remote
600K-986K Annually
Entry level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Leads technical sales and customer engagements for Data and AI solutions. Designs secure, scalable cloud and hybrid data architectures; conducts workshops, demonstrations, prototypes, proofs of concept, MVPs, and pilots. Advises customers on database, analytics, data engineering, integration, governance, modernization, and migration. Builds stakeholder relationships, resolves technical blockers, collaborates with Microsoft teams and partners, and translates customer requirements into measurable business outcomes.
Summary Generated by Built In
Overview

Solution Engineer, Data & AI

Help Denmark’s leading organizations turn data into real-world impact

Do you believe the best Data & AI solutions are built by people who are curious, pragmatic and willing to challenge conventional thinking?

We are looking for a  Solution Engineer, Data & AI to join Microsoft’s Cloud & AI Solution Engineering team in Denmark. You will work with some of Denmark’s most ambitious organisations, helping them modernise their data platforms, prepare their data for AI and turn new technology into measurable business outcomes.

This is not a traditional pre-sales role. You will combine deep technical expertise with creativity, commercial understanding and a hands-on approach. You will engage directly with customers, shape technical strategy and prove what is possible through architecture workshops, demonstrations, rapid prototyping, proofs of concept and collaborative build engagements.

You may come from a large technology company, a consultancy, a scale-up or a startup where you have helped build new platforms, products or capabilities from the ground up. What matters most is your ability to learn quickly, simplify complexity and turn ambitious ideas into solutions that work.


Responsibilities
  • Lead technical sales conversations with customer technical and business decision-makers, using consultative discovery to understand requirements and connect technology decisions to business outcomes.
  • Design and recommend secure, scalable, resilient, and governed Data & AI architectures across database, analytics, data engineering, integration, and AI scenarios.
  • Lead architecture sessions, technical workshops, demonstrations, rapid prototypes, proofs of concept, MVPs, and pilots to validate solutions and influence technical decisions.
  • Work hands-on with customers to address technical requirements, resolve blockers, and guide the modernization and migration of database, data, and analytics workloads.
  • Build trusted relationships with customer architects, engineers, developers, data leaders, and business decision-makers, acting as a technical advisor throughout the sales and solution lifecycle.
  • Collaborate with Microsoft account teams, specialists, Solution Engineers, engineering teams, customer success teams, and partners to develop technical plans and support successful implementation and adoption.
  • Maintain and grow technical expertise across Data & AI and cloud technologies, sharing customer insights, technical knowledge, and reusable practices with the wider Solution Engineering community.

Qualifications
Required Qualifications
  • Technical pre-sales, technical consulting, technology sales, solution engineering, technology delivery, or equivalent experience.
  • Experience working with database solutions, analytical workloads, data engineering, or related Data & AI technologies in cloud or hybrid environments.
  • Experience engaging with customers and technical and business stakeholders to understand requirements, communicate technical concepts, and translate customer needs into technical solutions.
  • Experience delivering technical engagements such as architecture workshops, demonstrations, rapid prototypes, proofs of concept, MVPs, or pilots.
Preferred Qualifications
  • Experience with cloud-based data platforms and technologies such as Microsoft Fabric, Power BI, Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, or comparable cloud data technologies.
  • Knowledge of cloud architecture principles, including security, scalability, resiliency, governance, performance, and cost optimization.
  • Experience designing or advising on end-to-end data architectures spanning operational databases, data integration, analytics, governance, and AI scenarios.
  • Consultative technical selling skills, including discovery, active listening, storytelling, objection handling, and influencing technical and business decision-makers.

Solution Engineering IC4 - The typical base pay range for this role across Denmark is kr 600,000.00 - kr 986,400.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/denmark-corporate-pay.html


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Technical pre-sales, technical consulting, technology sales, solution engineering, technology delivery, or equivalent experience
  • Experience with database solutions, analytical workloads, data engineering, or related Data and AI technologies in cloud or hybrid environments
  • Experience engaging customers and technical and business stakeholders to understand requirements and translate customer needs into technical solutions
  • Experience delivering architecture workshops, demonstrations, rapid prototypes, proofs of concept, MVPs, or pilots
  • Experience with cloud-based data platforms such as Microsoft Fabric, Power BI, Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, or comparable technologies
  • Knowledge of cloud architecture principles, including security, scalability, resiliency, governance, performance, and cost optimization
  • Experience designing or advising on end-to-end data architectures spanning operational databases, data integration, analytics, governance, and AI
  • Consultative technical selling skills, including discovery, active listening, storytelling, objection handling, and influencing decision-makers

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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Year Founded: 1975

What We Do

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