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Contract Databricks Developer Jobs in Nevada (NOW HIRING)

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Nevada? The most popular types of Databricks Developer jobs in Nevada are:
What job categories do people searching Contract Databricks Developer jobs in Nevada look for? The top searched job categories for Contract Databricks Developer jobs in Nevada are:
What cities in Nevada are hiring for Contract Databricks Developer jobs? Cities in Nevada with the most Contract Databricks Developer job openings:
Vice President, Global Data Platforms

Vice President, Global Data Platforms

Aristocrat Technologies, Inc.

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Aristocrat Technologies rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

174th of 204 rated it services


Job description

The Vice President, Global Data Platforms is a senior leader in Aristocrat's Enterprise Data & Analytics (ED&A) organization. They are accountable for defining and leading the global strategy, delivery, and operational excellence of enterprise data platforms. The role focuses on uniting and advancing data platforms across people, process, and technology to deliver scalable, reliable, and high-quality capabilities that power enterprise analytics, AI, and commercial data services.
It ensures platforms produce trusted, well-structured, and consumable data that meets business and customer needs. The role drives the adoption of AI and automation to improve engineering efficiency, platform intelligence, and operational efficiency. Operating across a complex, global matrix environment, this leader influences outcomes across organizational boundaries.
Join us in advancing scalable, high-impact data platforms that power analytics and AI across Aristocrat!
What you'll do
  • Define and drive the global data platform strategy ensuring aligned, scalable, secure, and cost-effective platforms. Communicate strategy, progress, and outcomes to executive leadership. Foster consensus and guide investment decisions focusing on value, prioritization, and cost efficiency.
  • Proactively engage and influence business and IT leaders to shape data and platform direction for new initiatives, driving modern, scalable approaches over legacy patterns.
  • Guide platform and data decisions that enable self-service, data literacy, and improved productivity, in partnership with Architecture and Governance.
  • Establish and implement the technical roadmap for data platform modernization, AI-ready data and data capabilities in alignment with enterprise architecture, including the use of AI to improve engineering efficiency.
  • Ensure data platforms are AI-ready, providing high-quality, well-structured, and discoverable data to support advanced analytics and machine learning.
  • Collaborate across data, technology, and business teams to provide platform capabilities and data solutions.
  • Establish clear operating models, roles, and decision frameworks to enable consistent execution, including standardization across platforms, technologies, and regions.
  • Ensure high availability, performance, security, cost efficiency, and reliability of data platforms in line with organizational and high-impact client-driven and regulatory SLAs.
  • Drive engineering and operational excellence by establishing automated and AI-enabled practices that ensure data quality, reliability, and speed of delivery within data platforms.
  • Lead and develop a global organization of platform, engineering, and operations leaders and engineers, fostering accountability, collaboration, innovation, and continuous improvement.

What we're looking for
  • 15+ years leading large-scale data platform or data engineering organizations, with a track record of delivering measurable business impact.
  • Strong executive communication skills, with the ability to influence, drive alignment, and secure consensus for platform strategy and investments.
  • Proven ability to define and implement strategic plans, drive technology alignment, and lead large-scale platform transformation initiatives.
  • Deep technical expertise in modern data platforms and architectures (e.g., Snowflake, Databricks, Azure, GCP).
  • Enablement of AI/ML use cases through data platforms, building AI-ready data foundations and using intelligent tools for engineering efficiency.
  • Experience Leading high-performing engineering organizations, including encouraging an environment of responsibility, operational excellence, and ongoing improvement.
  • Demonstrated success operating in high-SLA, client-facing environments, including implementing proactive, automated processes to ensure reliability, compliance, and performance at scale
  • Proven ability to collaborate effectively across data functions (e.g., Governance, Architecture, Product, Analytics, Data Science) and business partners to deliver aligned, high-impact outcomes.
  • Ownership of platform financials, including budgeting, investment planning, and cost optimization.
  • Experience managing strategic vendor and partner relationships, including contract oversight and performance.

Why Aristocrat?
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V
  • World Leader in Gaming Entertainment
  • Robust benefits package
  • Global career opportunities

Our Values
  • All about the Player
  • Talent Unleashed
  • Collective Brilliance
  • Good Business Good Citizen

Travel Expectations
Up to 25%
Pay Range
$192,500 - $357,500 per year
Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.
This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/.
Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.