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  • Agentic blueprint
    Vision

    Agentic enterprise blueprint

    Al agents are only as good as the data foundation and the business context beneath them. Here is how you build these.

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    Modern data platform

    Cloud-native infrastructure, designed for enterprise Al

    Business context

    Ontology, canonical metrics, semantic layer

    AI agents

    Infinite possibilities when the foundation actually works

  • Flowline
    Flowline by Infinite Lambda
    Solution

    Data & AI modernisation
    as software

    Flowline crawls your legacy estate, converts it to a modern stack, and produces a first-pass ontology in one continuous motion.

    see how

    ETL modernisation

    Informatica, Talend, SSIS to Snowflake, dbt, and Fivetran:
    dependency-aware and fully reconciled

    Business ontology & semantic layer

    Reverse-engineered logic, canonical definitions, agent-ready
    context on Omni

    BI modernisation

    Al-powered analytics onto the modern semantic layer

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  • Tech blog

    Tech blog

    We are keen on sharing knowledge, so head to the blog for tips on cutting-edge implementations.

    Visit the Blog

    You have a vision.
    We have the experience.

    BOOK: DATA & AI: FAST AND SLOW

    TECH GUIDE: ML REAL-TIME SEARCH PERSONALISATION

    WHITE PAPER: BUILDING TREs IN THE CLOUD

Careers

Solutions Architect (USA)

The Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.

The position is titled Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organisation. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda’s solutions meet client needs effectively.

LOCATION & WORK ARRANGEMENTS

The role is remote, but you will be expected to travel to client sites and occasionally for in-person Infinite Lambda meetings. You will be covering both the US and South America, offering flexibility to work remotely and onsite as needed.

COMPENSATION

$180K – $210K

Apply now

DETAILED RESPONSIBILITIES

PROSPECTIVE CLIENT ENGAGEMENT

  • Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;
  • Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively;
  • Work closely with the sales team to foster collaboration and develop compelling proposals that meet client expectations;
  • Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;
  • Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;
  • Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.

 

STRATEGIC INVOLVEMENT

  • Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;
  • Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;
  • Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients;
  • Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning;
  • Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;
  • Deepen subject-matter knowledge in Infinite Lambda’s key industry verticals, ensuring a strong understanding of client needs and market dynamics.

 

SOUTH AMERICA EXPANSION

  • Partner with Infinite Lambda’s executive team to identify and establish delivery hubs in South America, supporting the company’s growth strategy in the region;
  • Ensure the expansion aligns with Infinite Lambda’s mission and values, contributing to long-term success in the region.

 

ADDITIONAL DUTIES

  • Work with Infinite Lambda’s executive team to help steer the company’s overall strategy in a positive direction, providing insights from sales engineering perspectives.
  • Represent Infinite Lambda at external conferences and events, promoting the company’s brand, thought leadership, and expertise in data and cloud engineering.

Requirements

  • Education: A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;
  • Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors;
  • Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;
  • Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, microservices, DataOps and MLOps practices;
  • Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.

soft skills

  • Communication: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;
  • Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;
  • Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

 

In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.

We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.

Apply now

Commitment to equal opportunities

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

Why Join us

We want to see you thrive with us.

Apply now

Being Your True self

Thrive in a supportive and inclusive team that is lucky to have you for who you truly are.

Practising innovation

Use cutting-edge tech at a front seat to the rapid evolution of cloud and data.

Living autonomously

Pick your location, manage your time and forget about logging office visits. Life is too short for red tape.

Learning & Growth

Get dedicated learning and development time, access to top-notch learning portals and use coaching opportunities.

Enjoying the perks

Get private health insurance, work-from-home budget, unlimited paid holiday and wellness benefits.

Our hiring process

01
Application review
02
Screening assessment
03
Technical interview
04
Cultural conversation