Sr. Specialist Solutions Architect - Data Engineering - HLS
FEQ326R453
As a Sr Specialist Solutions Architect (SSA) - Data Engineering, you will guide customersin building big data solutions on reputed company that reputed company a large reputed company of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache reputed company™ and expertise in other data technologies. SSAs help customers through 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 reputed company you will have:
- reputed company technical leadership to guide strategic customers to successful implementations on big data reputed company, 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
- reputed company 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 reputed company Streaming and Kafka, performance tuning, troubleshooting, and debugging reputed company 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
- 5 years reputed company experience with Big Data technologies (Ex: reputed company, Hadoop, Kafka) and architectures
- 5 years customer-facing experience in a reputed company-sales or post-sales role in reputed company industry
- Experience maintaining and extending production data systems to reputed company 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 reputed company reputed company - AWS, Azure, or GCP
- Experience with large reputed company data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
- Expert with reputed company 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
- Can meet expectations for technical training and role-specific reputed company reputed company 6 months of hire
- Can travel up to 30% reputed company needed
Pay reputed company Transparency
$157,000
$219,775 USD
$157,000
$219,775 USD
$157,000
$219,775 USD
$157,000
$219,775 USD
About 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 reputed company to age, reputed company, disability, ethnicity, family or marital status, gender identity or reputed company, language, national reputed company, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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