Data Engineer

Databricks

FEQ327R358 As a Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. * Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. * Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. * Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. * Provide tutorials and training to improve community adoption (including hackathons and conference presentations). * Contribute to the Databricks Community. What we look for: * 8+ years of experience in a technical role with deep expertise across the following areas: * Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV). * Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads. * Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection. * Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs. * Deep expertise across multiple core data engineering domains, including: * Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments. * Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion. * Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). * Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration. * Production programming experience in SQL and at least one of the following: Python, Scala, or Java. * Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable. * Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 3+ years of customer-facing experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific milestones within 6 months of hire. * Willingness to travel up to 30% as needed. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ327R248 As a Forward Deployed Engineer in our Forward Deployed Engineering 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. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Forward Deployed Engineering. 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   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

IMC

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. IMC’s Sydney-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. This role sits within our Data Engineering team. The team builds highly-scalable, high-throughput, low-latency Java applications that move and transform data from thousands of sources at Petabyte scale powering everything from real-time trading to analytics.You’ll work on a mix of greenfield and re-engineering projects, collaborating with developers globally to build scalable, reliable data platforms. Balancing speed with quality, you’ll write robust, testable software and make thoughtful trade-offs between latency, throughput, simplicity and maintainability. Your core responsibilities include: * Design, build, test and deploy high-performance Java systems for real-time and batch data processing. * Develop tools and services around Kafka, Avro, Parquet and related streaming technologies. * Contribute to internal frameworks for querying, storage, and data transformation — used globally across IMC. * Partner with traders, researchers, and engineers to define requirements and deliver scalable data solutions. * Own projects end-to-end, from requirements and architecture through to production deployment and monitoring. * Continuously assess and introduce emerging technologies to improve performance, maintainability, and developer productivity.. Your Skills and Experience: * 5+ years of experience as a Software Engineer with Java * Experience in the latest versions of Java is highly desirable * Proven experience building scalable, low-latency, high-throughput applications. * Familiarity with Kafka, Avro, Parquet and other data-oriented technologies is highly desirable. * Experience with Docker and Kubernetes, and confidence working in Linux environments. * Strong analytical and troubleshooting skills, with the ability to solve complex technical challenges independently. * Experience gathering business requirements and translating them into technical solutions. * Curious, adaptable, and proactive; comfortable working in a fast-paced environment with minimal supervision. Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it.   #LI-DNI   About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.