Senior Data Solutions Architect at Mineral

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

Proven track record in designing scalable, highly-performant, and resilient global solutions
Team & Project Bootstrap: Ability to bootstrap new teams and projects from the ground up, setting the technical direction and ensuring successful launch
Pre-Sales Acumen: Experience or strong aptitude for pre-sales activities, including technical discussions with potential clients and presenting solutions
Requirements Architect: Ability to convert business requirements into detailed, implementation-ready technical designs
Strong Stakeholder Management: Proven ability to manage diverse stakeholders effectively, ensuring alignment and successful project delivery
Strong grasp of and experience with cloud technology, cloud architecture, scalable design patterns, CI/CD, DevSecOps practices, and microservices
Excellent problem-solving and analytical skills with the ability to design innovative solutions
Strong communication and collaboration skills to work effectively in a team environment
Familiarity with SAAS implementation and integration
Programming in one or more languages within the data ecosystem (e.g., Python, SQL)
Experience as a Solutions Architect and Data Engineer
Proficiency in data warehousing concepts and multidimensional data modelling techniques
Strong understanding of data management principles, data governance, and data privacy regulations

Responsibilities

Building, maintaining, scaling, and integrating robust, big data-based platforms that support clients' strategic goals
Transforming client challenges into powerful data solutions
Using different tools to provide data insight for further analysis and drive business decisions

Skills

Key technologies and capabilities for this role

PythonSQLCloud ArchitectureCI/CDDevSecOpsMicroservicesSaaS

Questions & Answers

Common questions about this position

What benefits are offered for this position?

Benefits include competitive salary with self-proposed increases, flexible working arrangements, 25 days holiday plus bank holidays increasing to 30 days after 2 years, annual profit distribution, enhanced maternity/paternity leave, up to 8% matched pension, private medical healthcare, growth opportunities via Udemy, and a dynamic work environment with team events.

Is this a remote or hybrid role, and what's the location policy?

The position is hybrid, with flexible working arrangements. National and international travel is estimated at 15% depending on project needs.

What key skills and experience are required for the Senior Data Solutions Architect role?

Required skills include proven track record in designing scalable global solutions, cloud technology and architecture, CI/CD, DevSecOps, microservices, programming in Python or SQL, data warehousing, data modeling, strong stakeholder management, problem-solving, and communication skills. Nice-to-haves include experience as Solutions Architect and Data Engineer.

What is the company culture like at Mindera?

The culture is dynamic, innovative, and supportive, valuing ideas and contributions, with opportunities for professional development, team-building trips, parties, and work on cutting-edge projects in a global company.

What makes a strong candidate for this Senior Data Solutions Architect position?

Strong candidates have experience bootstrapping teams and projects, pre-sales acumen for client discussions, ability to convert business requirements into technical designs, and expertise in cloud, data ecosystems, and stakeholder management.

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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