Hybrid Senior Solutions Architect – Data Platforms

at Simple Machines

• Job title: Senior Solutions Architect – Data Platforms
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Amazon Redshift, Azure, BigQuery, Cloud, Google Cloud Platform, Hadoop, Kubernetes, NoSQL, SQL
• Location requirements: Hybrid, Sydney, Australia

About the role

• Senior Solutions Architect interfacing between product owners and implementation teams in designing data solutions. Leading the development of modern data platforms and software solutions for various clients.

Responsibilities

• 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.