Overview:

We are seeking a highly skilled Solutions Architect to lead the design and optimization of our product’s architecture. In this role, you will serve as the key architect for data solutions, overseeing the integration of advanced technologies while mentoring junior team members and collaborating with cross-functional teams.

Key Responsibilities:

• Responsible for building end-to-end solution design for products and applications.
• Partnering with business, engineering and product stakeholders to determine system requirements and designing fit-for-purpose solutions
• Be a key contributor to the Architecture peer group supporting with their strategy and roadmap
• Design solutions for new initiatives/enhancements with a focus on simplicity and operational integration.
• Review, assessment and governance of application/product solution designs for conformance to architecture principles throughout the project lifecycle.
• Diagnose and solve architecture problems and issues that may arise.
• Act autonomously in dealing with identified issues or deviance from standards.
• Support the adoption of target-state architecture by executing on the strategy for enterprise and digital platforms and systems.
• Alignment to architecture standards and principles to ensure solution decisions are made consistently across the enterprise and in the context of target architectures.
• Improve application/product performance through enterprise solutions and capabilities, Application data security and access control designs

Required Qualifications:

• Bachelor or Master degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in software architecture, data lake and database design, and data modelling, with at least 5+ years in a senior or lead role.
• Expertise in enterprise-scale data platform and technology – Databricks, DLT, Spark, Python and non-relational databases - MongoDB.
• Deep knowledge of cloud-based architectures.
• Proven expertise in data governance, security frameworks, and compliance standards (e.g., GDPR).
• Exceptional analytical, problem-solving, and decision-making skills, with a focus on driving business outcomes through software architecture.
• Ability to communicate complex technical concepts effectively to executive leadership and cross-functional teams.

Preferred Qualifications:

• Experience in artificial intelligence (AI) or machine learning (ML) data architectures.
• Advanced knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines for data operations.
• Strong programming skills in Java, Python or Scala, particularly for data manipulation and processing.
• Strong experience in designing and managing data lakes, data warehouses, and real-time streaming systems (e.g., Spark, Databricks).
• Excellent understanding of ETL/ELT processes, data integration, and data transformation tools.
• Experience in working with big data technologies and delivering large-scale data platforms.
• Certification in cloud architecture (e.g., AWS Certified Solutions Architect).

CSQ327R30

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Description 

Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors. We work on important projects for our clients, deliver market-leading propositions across the digital, online and mobile channels, and are recognised for our leadership in the application of agile and lean delivery methods to assure delivery. We have offices in Australia, India, South Africa, the UK, the EU and the USA. 

We’re looking for contract Data Engineers with proven senior-level experience to join the Equal Experts network. Our Data Engineers are highly skilled in creating data pipelines for ingest, transformation and storage of data, usually at scale, and are familiar with standing-up analytics clusters. 

This role involves using modern agile technical practices - including Continuous Integration and Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way. This role involves working in teams that use modern agile technical practices - including continuous integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well as helping others to do their jobs in a more effective way. 

Responsibilities 

• Working with the client and the team to determine data processing and access needs and how best to deliver them. 
• Creation and support of highly available data pipelines and storage solutions (e.g. data warehouses). 
• Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices. 
• Automation of data infrastructure and deployments. 
• Advocating agile practices to the client organisation. 
• Mentoring client team members. 
• Helping improve the team and clients’ data capabilities. 

Required Skills 

• Significant experience working on data pipelines, platforms and projects.
• Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP, Azure). 
• Strong background in at least one programming language, Python or Scala preferable.
• Working with a variety of databases, data warehouses and distributed file systems in production environments.
• Strong experience in SQL and data modelling.
• Exposure with data processing at scale.
• Working with source control and infrastructure as code (Git/Github, Terraform, ansible etc.) and CI/CD tools.
• Understanding and being able to support data scientists or business intelligence teams - in data prep, mentoring and support functions.
• Strong collaboration and communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.