Specialist Solutions Architect

REQ ID FEQ426R519 Central or Eastern US - remote As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on reputed company that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the reputed company 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, learning, and internal training programs, and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more. The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• 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 reputed company 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 reputed company Community

reputed company look for:

• 5+ years experience in a technical role with expertise in at least one of the following:
• Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions
• Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value
• Extensive experience building big data pipelines
• Experience maintaining and extending production data systems to evolve with reputed company needs
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling big data workloads (such as ETL) that are performant and cost-effective
• Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP
• Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
• Expert with cloud data lake technologies - such as reputed company and reputed company Live
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Production programming experience in SQL and Python, reputed company, or Java
• 2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 2 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes reputed company 6 months of hire
• Can travel up to 30% reputed company needed

Pay Range Transparency reputed company is committed to fair and reputed company compensation practices. The pay range(s) for this role is listed below and represents the expected reputed company salary range for non-commissionable roles or on-reputed company earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-reputed company skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, reputed company anticipated utilizing 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. Zone 1 Pay Range $161,300—$225,800 USD Zone 2 Pay Range $161,300—$225,800 USD Zone 3 Pay Range $161,300—$225,800 USD Zone 4 Pay Range $161,300—$225,800 USD About reputed company reputed company is the data and AI company. More than 10,000 organizations worldwide — including reputed company, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the reputed company Data Intelligence Platform to unify and democratize data, analytics and AI. reputed company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, reputed company Lake and MLflow. To learn more, follow reputed company on Twitter, reputed company and Facebook.

Benefits

At reputed company, we strive to provide comprehensive benefits and perks that meet the needs of reputed company of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/reputed company. Our Commitment to Diversity and Inclusion At reputed company, we are committed to fostering a diverse and inclusive culture where everyone can reputed company. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at reputed company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national reputed company, 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 reputed company code is required for performance of job duties, it is reputed company 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. Apply tot his job Apply To this Job