Specialist Solutions Architect - Data Engineering & Microsoft Azure

FEQ424R303 This position can be done remotely. As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide clients in developing extensive data solutions on Azure Databricks across a wide range of uses. You will work in a client-facing role, supporting Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs assist customers through the design and successful execution of essential workloads, while aligning their technical roadmap for expanding usage of the Databricks Lakehouse Platform. Reporting to the Specialist Field Engineering Manager, you will enhance your technical skills through mentorship, learning, and internal training programs, establishing yourself in a specialty such as streaming, performance tuning, industry expertise, and more. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects, from architectural design to data engineering to model deployment. - Design 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. - Support Solution Architects with advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures. - Provide tutorials and training to enhance community adoption (including hackathons and conference presentations). - Contribute to the Databricks Community. What we look for: - 5+ years of experience in a technical role with expertise in at least one of the following: - Software Engineering/Data Engineering: data ingestion, streaming technologies - like Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions. - Data Applications Engineering: Build use cases utilizing data - such as risk modelling, fraud detection, customer life-time value. - Extensive experience constructing big data pipelines in Microsoft Azure. - Experience maintaining and extending production data systems to evolve with complex needs. - Deep Specialty Expertise in at least one of the following areas: - Experience scaling big data workloads that are efficient and cost-effective. - Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces (e.g. Jenkins). - Experience designing data solutions on cloud infrastructure and services using best practices in cloud security and networking. - Experience implementing industry-specific data analytics use cases. - Production programming experience in SQL and Python, Scala, or Java. - 2 years of professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures. - 2 years of customer-facing experience in a pre-sales or post-sales role. - Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work. - Willingness to travel up to 30% when necessary. Benefits - Medical, Dental, and Vision cover. - 401(k) Plan. - FSA, HSA and Commuter Benefit Plans. - Equity Awards. - Flexible Time Off. - Paid Parental Leave. - Family Planning. - Fitness Reimbursement. - Annual Career Development Fund. - Home Office/Work Headphones Reimbursement. - Employee Assistance Program (EAP). - Business Travel Accident Insurance. - Mental Wellness Resources. Pay Range Transparency Databricks is committed to equitable compensation practices. The pay range(s) for this role are provided below and represent base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.