Technology Partner – Databricks

🔥 7 hours ago

🏄 California, New Jersey, +2 more states – Remote

🏄 California – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🪙 Affiliate Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Liaise with data and technology leaders across strategic client organizations to provide forward-looking advisory services and thought leadership • Lead brown-bag sessions, workshops, and educational forums on data, AI, cloud, and platform perspectives • Review client data platforms, operating models, and technology practices; provide improvement recommendations, solution approaches, and transformation roadmaps • Provide technology leadership for Data & Insights transformation agendas across technology, organization, operating processes, and governance • Recruit and assess key technology talent for critical client-facing roles • Create scalable technology solutions for complex and enterprise-wide initiatives • Present Tiger’s Data & Insights capabilities to prospective clients and executive stakeholders • Develop solution architectures, proposals, statements of work, and responses to client requirements • Partner with business and delivery leaders to shape data, analytics, AI/ML, cloud, and modernization opportunities • Mentor engineering, data, architecture, and analytics talent • Manage and guide architecture resources across client engagements and internal initiatives • Develop thought-leadership content, reference architectures, methods, accelerators, and delivery practices • Participate in interviews and evolve hiring, assessment, and talent-development practices • Partner with offshore counterparts on solution design, training, delivery quality, and capability development

🎯 Requirements

• 10+ years of experience developing solution architectures for large enterprises and complex transformation programs • Core requirement: hands-on and architectural Databricks expertise designing, implementing, and modernizing enterprise data and AI platforms using the Databricks Lakehouse Platform • Experience with Delta Lake, Apache Spark, Databricks SQL, Unity Catalog, Workflows, notebooks, data pipelines, governance, security, and platform administration • Experience building and governing data engineering, analytics, machine learning, and AI workloads on Databricks, including batch processing, real-time streaming, and scalable data pipeline architectures • Experience integrating Databricks with cloud services, particularly Azure and Azure Databricks environments • Strong knowledge of traditional and modern data platforms, including NoSQL, MPP, columnar databases, big data ecosystems, cloud data warehouses, and cloud-native data platforms • Experience with Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, Event Hubs, and related integration, security, and monitoring services • Experience with batch ETL/ELT, real-time streaming, event-driven architectures, IoT data pipelines, and distributed computing • Databricks certification preferred • Experience leading enterprise Databricks migrations or modernization programs preferred • Experience defining Lakehouse operating models, platform standards, reusable frameworks, governance patterns, and FinOps practices preferred • Strong experience working with senior client stakeholders preferred

🏖️ Benefits

• Significant career development opportunities • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunity protections