Senior Solutions Architect – Data Platforms
Simple Machines
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • Australia
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Job Level
About the role
- You will be the interface between product owners, managers, and implementation team to support the design and delivery of compelling market leading solutions.
- Data and software solutions delivery is a team sport.
- You will play a critical role in that team by:
- Match innovative yet practical data solutions to our customers’ thorniest problems, building on a foundation of strong engineering and operational practices.
- Balance multiple factors in the delivery of solutions including: effectiveness, cost, reliability, risk, safety, stakeholder needs, and so on.
- Capturing and presenting back, through documentation, presentations, and proofs of concept, the essential requirements of a solution.
- Translating the essential requirements into a number of alternative design approaches, which may include options to build or buy solution components.
- Helping the client navigate the process of selecting the best solution and
- Elaborating on the chosen solution to a level that facilitates detailed project planning, technology selection, and documentation of key interfaces.
- Linking technology components to process, organisational, and change management dependencies to ensure success of the total solution.
- Thinking outside the box and staying focused on the essential business needs.
Requirements
- Knowledge of the key data and infrastructure services in each of the major cloud providers including the Google Cloud Platform, Amazon, and Azure.
- Knowledge of one or more programming languages.
- Experienced in data modelling and key data warehousing concepts including ** alternative database schemas (SQL and “NoSQL”), database normal forms, ** dimensional models, slowly changing dimensions, metadata management, Lambda and Kappa architectures, etc.
- At least a foundational knowledge of machine learning including ability to describe a basic classification algorithm and key components of machine learning operations.
- Knowledge of one or more architectural frameworks and containerisation strategies including Kubernetes.
- Knowledge of DevOps processes and event-driven architectures.
- Experience in a professional services role - delivering a solution to a third-party client with an agreed budget and schedule.
- Preferred additional experience in an enterprise, start-up, or sales engineering role.
- Experience in a team delivering a bespoke solution involving custom development or custom integration.
- Design and implementation of a strategic data platform that involved a change over the previous data architecture.
- Experience with “Big Data” platforms and technologies such as Hadoop, Redshift, BigQuery, Snowflake, Databricks, etc.
- Experience with implementing a large data platform in a cloud environment.
- Experience with a project involving advanced analytics such as a statistical or machine learning model.
- Experience in teams employing Agile and DevOps practices.
Benefits
- You’ll work on **interesting, high-impact problems**
- You’ll build **modern platforms**, not maintain legacy mess
- You’ll be surrounded by senior engineers who actually know their craft
- You’ll have autonomy, influence, and room to grow
- If you’re a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modellingdata warehousingSQLNoSQLmachine learningKubernetesDevOpsevent-driven architectureBig Dataadvanced analytics
Soft Skills
communicationteam collaborationproblem solvingstakeholder managementdocumentationpresentation skillschange managementstrategic thinkingorganizational skillsinnovation