Alto Software Group
B2B SaaS
DataPlatformEngineeringManager(AWS,Databricks)
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Platform Engineering Manager (AWS, Databricks) at Alto Software Group. Skills: Data Platform Engineering, AWS, Databricks, Python, Terraform, Infrastructure as Code, Team Management, People Management. Recruiting, guiding, and nurturing a data platform engineering team. Developing and expanding the data platform engineering function”
What You'll Achieve.
Scaling our data lakehouse; Delivering the infrastructure behind new data commercialisation products; Building the reusable building blocks that let teams across Alto move data safely and quickly; Deliver predictably for internal and external customers; Ensure our platform is resilient, performant and ready for what's next; Make other engineers' lives easier
Industry & Context.
Pragmatic problem-solver; Navigate ambiguity; Find simple solutions to complex challenges; Translate complex business problems into elegant, customer-focused data solutions
Hybrid - 2 days per week in our London HQ for team collaboration
What They're Looking For.
Must Have
Senior data or platform engineer with Python skills, Track record of building data platform infrastructure that other engineers and analysts depend on, Hands-on experience with AWS and Terraform, Comfort with infrastructure-as-code as the default way of working, Experience with a modern lakehouse or warehouse platform (Databricks ideally, or Snowflake/BigQuery), Experience with data ingestion and transformation tools (Fivetran/DBT), Solid SQL skills, Good sense for data modelling, Awareness of container orchestration (ECS, Kubernetes), Experience managing software engineers — ideally data or data platform engineers — including hiring, performance management, coaching and career development, Genuine appetite for staying technical, See hands-on engineering as core to the role, Capable of leading technical discussions among the team, Overseeing performance and delivery for a data platform product area, Comfortable engaging directly with internal customers and stakeholders to understand their problems and what matters most to them, Drive effective communication within and across teams, Accustomed to operating with significant alignment and independence, Comfortable navigating technical and organisational uncertainty, A platform mindset — pride in building tools, templates and paved roads that make other engineers' lives easier
Nice to Have
Familiarity with Kafka or similar streaming systems, Appreciation of the abstractions that make event-driven data flows easy for other teams to adopt, Experience with Kubernetes
What You'll Do.
and nurturing a data platform engineering team
Developing and expanding the data platform engineering function
advising and coaching data platform engineers
prioritising effectively
and delivering predictably
Hands-on engineering: writing Python and Terraform
and shipping platform capabilities
Taking ownership of delivery from design through to deployment
Collaborating with product
commercial and engineering teams to translate business problems into data solutions
Contributing to the modernisation of data infrastructure
Extracting data from legacy SQL Server monolith into the lakehouse
Introducing data retention policies
Migrating to modern SQL frameworks and languages
Ensuring platform resilience and performance
How You'll Work.
Team & Collaboration
Collaborating with peers, Technical Product Manager and Head of Platform & Data Engineering; Partnering with the Technical Product Manager; Collaborating with product, commercial and engineering teams across Alto; Driving effective communication within and across teams; Using Architectural Decision Records (ADRs) for team communication; Collaborative team member; Sharing early-stage work; Giving and receiving constructive feedback
Communication Scope
Drive effective communication within and across teams; Asynchronous communication via we use Architectural Decision Records (ADRs)
Process & Methodology
Roadmap shaping, Prioritisation across competing demands, Delivering predictably, Taking ownership of delivery from design through to deployment
Full Job Description
Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we're not a startup, we operate with a startup mindset. We're looking for people who share this mentality and are ready to tackle big ambitions. This is a fast-growing and exciting business going through significant change, and there's never been a better time to join us. We're seeking an experienced Data Platform Engineering Manager to help lead a small team of data platform engineers. The role is a genuine 50/50 split between hands-on engineering and people & delivery management. You'll report to the Head of Platform & Data Engineering, partner closely with our Technical Product Manager, and lead around three engineers day-to-day — scaling our data lakehouse, delivering the infrastructure behind new data commercialisation products, and building the reusable building blocks that let teams across Alto move data safely and quickly. ### What You'll Do * Helping recruit, guide, and nurture a diverse and seasoned data platform engineering team. We consistently enhance and review our recruitment efforts to achieve progress in this area. * Collaborating with your peers, the Technical Product Manager and the Head of Platform & Data Engineering to develop and expand our data platform engineering function through efficient interviewing, recruitment, and orientation processes. * Guiding, advising and coaching data platform engineers through regular one-on-one meetings, objective setting, and continuous feedback cycles. * Partnering with the Technical Product Manager to shape the roadmap, prioritise effectively across competing demands, and deliver predictably for internal and external customers. * Spending roughly half your
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