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Founding DevRel

posted by: spj_bot

Location: Remote (United States)

Remote | Full-time

Compensation: $130K - $200K

Our client is a high-growth, early-stage developer infrastructure startup that has recently secured $5M in seed funding from top-tier venture capital firms and prominent angel investors from OpenAI, Google, and Databricks. The company provides a modern approach to infrastructure-as-code purpose-built for the AI era. Their platform enables startups and enterprise organizations to deploy complex software and AI agents directly into secure, private customer cloud environments, safely unlocking access to sensitive data that cannot leave strict compliance boundaries.

As the Founding Developer Relations (DevRel) Engineer, you will be the inaugural voice of the platform, taking a product with robust engineering roots and building out its entire developer content ecosystem from scratch. This is a high-ownership role within a lean, high-impact team where you will design tutorials, reference applications, videos, and guides that help developers seamlessly ship AI applications into cloud environments.

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Associate Director- Program Manager (Pharma / Medical Devices)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Program Manager with a strong background in Data & Analytics and deep domain expertise in the Pharmaceutical and/or Medical Devices industry. The ideal candidate will have a proven track record of leading large-scale, cross-functional data transformation programs and managing complex multi-vendor delivery environments while partnering with senior business and technology stakeholders.

RESPONSIBILITIES:

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Project Manager - Wealth Management & AI Solutions

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking an experienced Lead Consultant / Project Manager to drive the delivery of strategic data and AI-powered solutions for a leading financial services client. This role combines consulting, business analysis, product strategy, and project leadership, requiring close collaboration with business stakeholders, technical teams, and executive sponsors.

The ideal candidate will have a strong background in Wealth Management, Insurance, or Financial Services and possess the ability to translate complex business workflows into scalable digital products and analytics solutions.

Job Skills

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Principal Architect - Databricks

posted by: spj_bot

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for an experienced Principal Architect – Databricks to lead the architecture and design of enterprise-scale data platforms and Lakehouse solutions. The ideal candidate will bring deep expertise in Databricks, modern data engineering, cloud data platforms, and enterprise data architecture, along with the ability to translate complex business requirements into scalable, secure, and cost-effective solutions.

Job Skills

color data data data invests governance emerge technology data platform experience design communication stakeholder data processing collaborate reliable best practices pyspark solution architecture estimations accounts data governance compute networking enterprise security cloud storage use cases disability enterprise architecture data architecture integrate databricks auditing streaming data design technology scalable data patterns sql data quality automated testing storage stakeholder management business intelligence devops machine learning solution design leadership automation data integration access control artificial intelligence adapt data platforms upskilling networking security apache spark landscape data warehousing data data architectures architectural pattern cloud native life insurance innovation data warehouses stakeholder engagement adoption compute utilization ETL strategic technology data management distribute computing business requirement management engineering cloud management consulting latin term life insurance translate business transformation data engineering business priority analytics infrastructure as code consulting production support scale data pipelines identity management retirement accounts
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Data Analyst (Financial Planning and Analysis) - Canada

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

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Senior Data Quality Engineer (4 Months Contract ) Onsite in UAE - Octopus by RTG

posted by: spj_bot

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

Job Skills

layers professional microsoft azure certification compute clusters datasets prioritized certified engineer quality assessment automation integrations integrate data validation predictive ul information system data management data manage quality frameworks quality control quality engineer data modeling management quality engineering validation processes sql data pipeline master data management computer science dashboards data quality governance data platform data engineering exception management managed integrating templates data processing outliers analytics pyspark anomaly detection machine learn build automated profiling automated predictive models datum cleansing data governance azure monitor data profiling machine learning data elements metadata prioritization human in the loop quality management microsoft azure scale quality scores root cause analysis azure services quality monitoring enforcement power bi engineer certified associate databricks
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Founding Data Lead

posted by: spj_bot

We are hiring on behalf of our client, an elite, venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous Founding Data Lead. Backed by top-tier Web3 investors including Paradigm and Dragonfly, the client is building foundational, institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves.

As the Founding Data Lead, the successful candidate will build the organization’s data and analytics function from the ground up. This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business. By mapping data across the entire stack—encompassing onchain, product, financial, and operational data—this individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development, investment strategies, and growth trajectories.

Key Responsibilities

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Sr Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Job Skills

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Senior Data Scientist - GenAI (Retail)

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning 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.

We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

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la26.031 - Data Engineering Lead

posted by: spj_bot

Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.

Requirements

  • Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.

Benefits

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