CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

FEQ427R64

Location: Brisbane

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
  
  

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

FEQ127R17

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our internship program will provide an opportunity to work on meaningful products that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in systems design and testing, and have opportunities to present your work to your team and the wider org. Each intern has a dedicated intern manager, and every project is part of the team’s roadmap and will directly help Stripe’s mission.

What you’ll do

Every internship at Stripe centers around a real, legitimate project that our customers urgently need, touching many parts of our operations and stack. We will support you in shipping it. Yes, you will actually ship it. Some recent projects include rebuilding our statistics aggregation service, building new service discovery systems, and many user facing projects like making it easy to understand error messages on Stripe Checkout. As a Stripe intern, you'll be tackling important projects to increase global commerce, while working alongside exceptional people who insist on doing their best work. You’ll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both.

Responsibilities

• Write software that will be used in production, and has meaningful impact to Stripe
• Give and receive technical feedback through code reviews or design discussions
• Collaborate with other engineers and cross-functional stakeholders to proactively seek and incorporate feedback
• Learn quickly by asking great questions, by working with your intern manager and teammates effectively, and by communicating the status of your work clearly

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A strong fundamental understanding of computer science through pursuit of a Bachelor’s, Master’s, or PhD degree in computer science, math, or a related discipline
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
• Experience from previous internships or other multi-person projects, including open source contributions, that demonstrate evaluating and receiving feedback from mentors, peers, and stakeholders
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Preferred qualifications

• At least 2 years of university education, or equivalent work experience
• One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
• Understanding and some experience writing high quality pull requests, with good test coverage, and working knowledge to complete projects with minimal defects
• Familiarity with navigating and managing your work in new code bases, with multiple languages
• Ability to write clearly to explain your work to stakeholders, team members, and other Stripes

IN A NUTSHELL

Bellroy isn’t a software company that happens to make physical products. We’re a product company, and our software exists to give us a real competitive edge. That distinction matters. It means we care about quality and craft, not just delivery speed. We build systems that solve real-world problems for our customers, our team, and our operations, and we do it with care.

We're extending the capabilities of our bespoke e-commerce platform, integrating with digital marketplaces around the world and supporting the release of exciting new carry goods. As we scale, we're looking for a developer who’s genuinely at home in functional programming – whether your background is in Haskell, Clojure, Elixir, F#, Scala, OCaml, Erlang, or similar – to help us build an elegant platform to support our growth.

We care less about which functional language you’ve used, and more about whether you think in maps, folds and algebraic data types; about types and composition; about building systems that are correct, observable and evolve gracefully. While we love pure functional programming as much as the next lambda enthusiast, we're pragmatic enough to know that sometimes a clever hack beats a perfect abstraction. The key is knowing the difference.

Your growth matters to us. Beyond our learning budget, you'll find yourself immersed in a culture of continuous learning through our hack days, company-wide learning events, and our weekly Technology Team book clubs and mob programming sessions. We've explored everything from UX classics like Don't Make Me Think to engineering fundamentals like The Pragmatic Programmer.

Bring us your problem-solving prowess and quick thinking. In return, we offer a culture where intellectual honesty isn't just encouraged, it's expected. Where autonomy isn't just promised - it's built into our workflow. Where you'll have the tools you need to turn great ideas into reality.

YOU COULD BE THE ONE IF YOU...

• Have spent 2+ years writing production code in a functional language (for example Haskell, Clojure, Elixir, F#, Scala, OCaml, Erlang, or a strongly‑functional style in Rust, Kotlin or Swift)
• Take pride in crafting code that's thoughtfully designed and built to last
• Are more interested in mastering your craft than climbing the management ladder (though we're open to that changing as you grow with us)
• Thrive in a cross-functional environment, collaborating with experts across product design, data science, logistics, and beyond
• See your work as more than a paycheck - you're driven by the challenge of creating exceptional solutions
• Have an insatiable curiosity for new ideas, whether they come from technical blogs or philosophy podcasts
• Want to be part of a company that's using business as a force for good

WE'D BE EXTRA THRILLED IF YOU...

• Have tamed Nix and lived to tell the tale
• Know your way around the AWS ecosystem
• Can navigate Ruby on Rails codebases (we have a slowly shrinking, legacy Rails ecosystem that interfaces with our Haskell services)

IF YOU WERE HERE LAST WEEK, YOU WOULD HAVE…

• Tidied up loose ends from the project you just finished with another member of the team, and taken some time to make some of the code you wrote more elegant and maintainable
• Joined the whole team in a retrospective, and helped create a shortlist of continuous improvement tasks for us to prioritise
• Taken part in our bi-monthly Hack Day event, and spent a day working on something that inspires you or fixing something that annoys you
• Attended our weekly Functional Programming meet to discuss some new Haskell packages and conventions we’re thinking about using
• Spend time improving your skills, tooling and workflows during our weekly “cooldown” days

LOCATION AND HOURS

Work remotely from Brazil

HOW TO APPLY

Start by exploring our website and Our Story to get a feel for who we are. If you see yourself thriving here, send us your resume, a link to some of your work you are proud of and the MD5 (hexadecimal) hash of the string "All The Things With You".

Who We Are

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

What You’ll Do

We’re building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform.

This team ensures that data is reliable, accurate and available when it’s needed. You’ll sit at the intersection of data engineering, operations and market data, monitoring critical pipelines, improving system resilience and building automation to detect and prevent issues before they impact trading or research.

You’ll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business. In this role, you will:

• Monitor and optimize the performance and stability of data pipelines to meet SLAs.

• Design and maintain data quality tests for accuracy, consistency and completeness.

• Investigate data incidents, perform root-cause analysis and implement preventive measures.

• Apply SRE principles to enhance reliability, alerting and recovery mechanisms.

• Develop automation and tooling to reduce manual intervention and improve scalability.

• Collaborate with data engineers, researchers and market data teams to align reliability goals with business priorities.

Who You Are

• 2+ years of experience in data engineering, site reliability engineering (SRE) or data operations.

• Proficient in SQL, ETL processes and at least one programming language (Python, Scala or C++).

• Strong focus on automation, system resilience and continuous improvement.

• Passionate about data quality, observability and performance optimization.

• Structured and methodical in problem-solving, with strong debugging skills.

• Excellent communication skills and a collaborative, proactive mindset.

Nice to have:

• Experience with Databricks, data observability platforms or distributed/cloud-based data systems.

• Familiarity with alerting and monitoring tools (e.g. Grafana, Prometheus, Airflow or similar).

• Exposure to financial data pipelines or low-latency trading environments.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

If you’re passionate about supporting reliable, high-performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

Apply now and help us build the next evolution of Optiver’s global data platform.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

Who We Are

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

What You’ll Do

We’re building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform.

This team ensures that data is reliable, accurate and available when it’s needed. You’ll sit at the intersection of data engineering, operations and market data, monitoring critical pipelines, improving system resilience and building automation to detect and prevent issues before they impact trading or research.

You’ll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business. In this role, you will:

• Monitor and optimize the performance and stability of data pipelines to meet SLAs.

• Design and maintain data quality tests for accuracy, consistency and completeness.

• Investigate data incidents, perform root-cause analysis and implement preventive measures.

• Apply SRE principles to enhance reliability, alerting and recovery mechanisms.

• Develop automation and tooling to reduce manual intervention and improve scalability.

• Collaborate with data engineers, researchers and market data teams to align reliability goals with business priorities.

Who You Are

• 2+ years of experience in data engineering, site reliability engineering (SRE) or data operations.

• Proficient in SQL, ETL processes and at least one programming language (Python, Scala or C++).

• Strong focus on automation, system resilience and continuous improvement.

• Passionate about data quality, observability and performance optimization.

• Structured and methodical in problem-solving, with strong debugging skills.

• Excellent communication skills and a collaborative, proactive mindset.

Nice to have:

• Experience with Databricks, data observability platforms or distributed/cloud-based data systems.

• Familiarity with alerting and monitoring tools (e.g. Grafana, Prometheus, Airflow or similar).

• Exposure to financial data pipelines or low-latency trading environments.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

If you’re passionate about supporting reliable, high-performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

Apply now and help us build the next evolution of Optiver’s global data platform.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

CSQ327R141

As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in either Python or Scala.
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20 - 30% of the time
• Nice to have: Databricks Certification

FEQ427R302

Location: Canberra

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

FEQ427R64

Location: Brisbane

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

FEQ427R83

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.

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.