Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview:
We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions — owning the journey from first conversation to live deployment.
Role :
We are seeking an experienced, client-facing Forward Deployed Engineer (FDE) with deep expertise in the Databricks Data Intelligence Platform to partner closely with enterprise clients and Databricks account teams. In this role, you will embed directly into customer environments to architect, build, and deploy high-impact data engineering, analytics, and AI/GenAI solutions—turning complex, ambiguous business problems into production-ready outcomes at speed
Responsibilities:
- Rapid Solution Prototyping & Delivery: Embed with client engineering and business stakeholders to design, build, and deploy end-to-end production solutions on Databricks within accelerated timelines.
- Lakehouse Architecture & Data Engineering: Architect scalable data pipelines using Delta Lake, Unity Catalog, and Apache Spark, handling complex cloud migrations, legacy BI modernization, and performance/cost optimization.
- AI, GenAI & Intelligent Analytics: Build and deploy enterprise AI/ML workflows, knowledge layers/ontologies, and natural-language analytics solutions using Databricks AI/BI Genie, Mosaic AI, RAG architectures, and Model Serving.
- Technical Leadership & Consultative Discovery: Lead architectural workshops, translate business requirements into technical roadmaps, and troubleshoot production bottlenecks alongside client teams.
- Cross-Functional Collaboration: Act as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders, and Databricks field engineering teams to drive adoption and expand platform capabilities.
Requirements
- 5+ years of hands-on experience in Data Engineering, Applied AI/ML Engineering,
- Strong proficiency in Python and SQL, with deep hands-on mastery of Apache Spark (performance tuning, query optimization, cluster sizing, and memory management).
- Proven experience implementing Lakehouse architectures, including Delta Lake, Unity Catalog (governance, lineage, access control), and Databricks Workflows.
- Practical experience building and deploying AI/GenAI solutions on Databricks (e.g., Databricks AI/BI Genie, Mosaic AI, Vector Search, LLM integration, or MLflow).
- Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto cloud platforms (AWS, Azure, or GCP).
- Exceptional communication and consultative skills, with a demonstrated track record of operating effectively in fast-paced, client-facing environments.
The FDE Mindset
- Strong customer-facing communication and sharp problem-solving instincts.
- Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production.
- Equally at home with business and technical stakeholders.
Skills Required
- 5+ years of hands-on experience in data engineering or applied AI/ML engineering
- Strong proficiency in Python and SQL
- Deep hands-on expertise with Apache Spark, including performance tuning, query optimization, cluster sizing, and memory management
- Experience implementing Lakehouse architectures using Delta Lake, Unity Catalog, and Databricks Workflows
- Practical experience building and deploying AI/GenAI solutions on Databricks, including AI/BI Genie, Mosaic AI, Vector Search, LLM integration, or MLflow
- Experience migrating enterprise data workloads or modernizing legacy BI/data warehouses onto AWS, Azure, or GCP
- Exceptional communication and consultative skills in fast-paced, client-facing environments
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
