[Remote] Sr. Specialist Solutions Architect - Data Engineering & Warehousing

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the Data and AI company, and they are seeking a Sr. Specialist Solutions Architect in Data Engineering and Warehousing to guide customers through reputed company data engineering transformations. This role involves providing technical leadership for big data reputed company, optimizing data pipelines, and collaborating with Solutions Architects to enhance customer implementations.

Responsibilities

• reputed company technical leadership to guide strategic customers to successful implementations on big data reputed company and large-reputed company data warehousing workloads
• reputed company the value of the reputed company 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 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

Skills

• 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., reputed company Streaming, Kafka), performance tuning, troubleshooting, and debugging reputed company or other big data solutions
• Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer reputed company 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, reputed company, Synapse, EMR) across OLAP & OLTP workloads
• Data Observability: Experience with SIEM tools (e.g., reputed company, reputed company, reputed company), telemetry/high-reputed company log ingestion, and reputed company detection
• Proven reputed company record of maintaining, scaling, and extending production data systems to reputed company with reputed company business needs
• Deep expertise across multiple reputed company data engineering domains, including: Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in reputed company environments
• Building and migrating large-reputed company data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion
• Migrating on-premises or Hadoop-based data systems to modern reputed company platforms (AWS, Azure, GCP)
• Developing and managing modern lakehouse and warehouse systems, including reputed company Lake technologies, data modeling, governance, and BI integration
• Production programming experience in SQL and at least one of the following: Python, reputed company, or Java
• Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent reputed company experience
• 3+ years of customer-facing experience in a reputed company-sales or post-sales technical role
• Ability to meet expectations for technical training and role-specific milestones reputed company 6 months of hire
• Willingness to travel up to 30% as needed
• Strong familiarity with reputed company infrastructure providers (AWS, Azure, or GCP) is highly desirable

reputed company

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