Referso Jobs

Senior Product Manager, Data

Mixpanel · Posted Nov 6, 2026

Open

New York City, United States
Hybrid
Full-time · Senior
$213K–$250K per year
5+ years

Senior Product Manager, Data

Mixpanel · Posted Nov 6, 2026

Open

New York City, United States
Hybrid
Full-time · Senior
$213K–$250K per year
5+ years

Global Alliance Lead, Capgemini

Fivetran · Posted Jul 1, 2026

Open

Remote, United States
Remote
Full-time · Senior
$250K–$302K per year
15+ years

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The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation.

Compensation

$249,816-$302,000 USD

Responsibilities

Own the global GSI relationship at partner and C-suite level, building trusted relationships with Capgemini, practice and delivery team leads.
Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery.
Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy.
Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements.
Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices.

Requirements

Nice to have: dbt
Nice to have: Fivetran
Nice to have: agentic workflows
Nice to have: data governance

Solutions Architect

Cube Dev, Inc. · Posted Nov 8, 2026

Open

Remote, United States
Remote
Full-time · Mid
3+ years

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A technical bridge between product and customers' data infrastructure, designing, implementing, and optimizing semantic layer architectures to solve complex data challenges.

Responsibilities

Design and architect end-to-end semantic layer solutions using Cube, integrating with customers' existing data warehouses (Snowflake, BigQuery, Redshift).
Build comprehensive data models in YAML or JavaScript that define metrics, dimensions, and business logic.
Develop proof-of-concepts and technical demonstrations on customer data, and lead technical discovery sessions to understand data architecture and requirements.
Guide customers on best practices for data modeling, caching strategies, access control, and performance optimization.
Run hands-on workshops and training to enable customer teams, and partner with Sales to provide technical expertise during the evaluation process.

Requirements

Nice to have: Cube.js
Nice to have: LookML
Nice to have: dbt metrics
Nice to have: Dimensional modeling
Nice to have: REST/GraphQL APIs

Skills

SQL Data analysis JavaScript Python

Architecte Data H/F

NEXTON · Posted Nov 5, 2026

Open

Paris, Île-de-France, France
On-site
Full-time · Senior
5+ years

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Architecte Data / IA H/F en CDI à Paris pour la transformation de l'écosystème SI, Data & IA d'un acteur majeur de l'énergie.

Responsibilities

Design d'Architecture End-to-End
Architecture « Ready for Delivery »
Intégration & Exposition
Infrastructure & Socle Technologique
Gouvernance, Sécurité & Résilience

Requirements

Bac+5 en informatique
école d’ingénieurs
équivalent

Skills

Lakehouse Modern Data Stack Data Mesh Data Fabric AWS Azure GCP Batch ingestion Streaming Data Governance

Senior Data Engineer

Averis · Posted Nov 5, 2026

Open

Kuala Lumpur, Kuala Lumpur, Malaysia
Full-time · Senior
8+ years

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As the Senior Data Engineer, you will play a pivotal role in leading our data engineering team and driving the design, development, and maintenance of scalable, governed data foundations and pipelines.

Responsibilities

Collaborate with stakeholders, project managers, and cross-functional teams to understand business requirements and translate them into clear technical requirements, solution designs, and efficient data pipelines.
Provide technical design and architecture guidance, and design an appropriate modern data stack that supports the organization’s data maturity, data foundation, governance, scalability, and business reporting needs.
Design and implement robust, scalable, and cost-optimized data foundations and pipelines across on-premise and cloud infrastructure to collect, process, govern, and store data from various sources.
Build business-relevant data lakes and data warehouses to support management reporting for business end-users and analytics or data science environments for technical end-users.
Work with cloud infrastructure team who will provision necessary data related infrastructure.

Requirements

Bachelor's degree in Computer Science
Master's degree in Computer Science
Bachelor's degree in Data Science
Master's degree in Data Science
Bachelor's degree in Statistics

Skills

data engineering

Director, Data Engineering & Analytics

Metropolis · Posted Aug 18, 2026

Open

Bengaluru, Karnataka, India
On-site
Manager
8+ years

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Lead and grow the data organization, owning strategy, architecture, and execution of a modern, scalable data platform for AI-driven analytics and business intelligence.

Responsibilities

Lead, mentor, and grow high-performing Data Engineering, Analytics Engineering, and BI Development teams
Define team charters, OKRs, and strategic roadmaps aligned with company-wide goals
Own the end-to-end vision, architecture, and execution of the data platform from ingestion and storage to transformation, serving, and consumption layers
Drive adoption of modern data stack technologies like dbt, Spark, Airflow, Snowflake, BigQuery, Databricks, and Kafka
Ensure platform governance, documentation, and trust by implementing robust data quality, lineage, observability, and compliance standards

Skills

data engineering analytics engineering data infrastructure modern data stack ELT pipelines cloud data warehouses dbt

Principal Partner Solutions Architect

Fivetran · Posted Nov 5, 2026

Open

Remote, United States
Remote
Full-time · Principal
$239K–$333K per year
10+ years

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The Principal Partner Solutions Architect (GSI) acts as the global technical advisor to Fivetran + dbt Labs' priority Global Systems Integrators (GSIs), operating at an executive level to lead the execution of joint business plans and technical solutions.

Compensation

$239,446—332,562

Responsibilities

Build a trusted advisory relationship with priority GSIs and engage with their senior technical stakeholders and practice leads to secure multi-year technology bets.
Own the joint technical narrative and capability messaging for the combined Fivetran + dbt Labs platform as it applies to this GSI's delivery practice.
Provide domain expertise around modern data platforms and enterprise technology, and effectively promote Fivetran + dbt Labs with partners, at conferences, and online.
Make recommendations on integration strategies, partner-side enterprise architectures, platforms, and application infrastructure required to successfully implement complete solutions for complex GSI mega-agreements.
Maintain a single, current view of integration state, gaps, and opportunities across the combined platform (ingestion, transformation, semantic layer, catalog/metadata, agent and MCP interfaces).

Skills

Systems integrator alliances Enterprise/solutions architecture

Sr. Applied Machine Learning Engineer

Plug Technologies Inc · Posted Nov 3, 2026

Open

Sawtelle, California, United States
On-site
Full-time · Senior
$164K–$200K per year
5+ years

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Lead the development and production of machine learning models for pricing, battery health, and LLM pipelines in an automotive fintech startup.

Compensation

Annual salary: $164,000 – $200,000

Responsibilities

Build, improve and run production models for instant offers, auction pricing and sell-through
Develop battery state-of-health and vehicle-condition models from telematics and time-series data
Take models through full lifecycle: feature pipelines, training, evaluation, deployment, monitoring, drift detection and retraining
Evaluate models by statistical accuracy and business outcomes
Bring in LLMs for structured data extraction

Requirements

BS or MS in a quantitative field (computer science, statistics, engineering, physics, applied math) or equivalent experience
Nice to have: Vehicle, marketplace, auction, lending or insurance pricing data
Nice to have: Sensor or telematics data, battery modeling
Nice to have: Transfer learning, multi-task learning, model distillation
Nice to have: ML or LLM serving on a budget for latency and cost

Skills

Python ML framework (PyTorch, scikit-learn, XGBoost/LightGBM or similar)

I&F Decision Sci Practitioner Specialist

Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026

Open

Gurugram, Haryana, India
Senior
7–11 years

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Lead financial planning and analysis using advanced data engineering and business intelligence tools to deliver actionable insights and support strategic decision-making.

Responsibilities

Create sophisticated Power BI dashboards and reports that provide real-time visibility into financial performance
Develop interactive visualizations for executive dashboards, operational metrics, and KPI tracking
Implement row-level security and advanced DAX calculations for complex financial metrics
Design self-service analytics solutions that empower business users to explore data independently
Maintain and enhance existing Power BI environments including dataset optimization and performance tuning

Requirements

Bachelor's degree (BE/BTech/Any Graduation)

Skills

Power BI DAX Power Query data modeling Power Platform ecosystem Power Apps Power Automate

AI-Augmented Data Engineer

rindus GmbH · Posted Nov 3, 2026

Open

Málaga, Málaga, Spain
Hybrid
Full-time · Senior
4+ years

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Join a modern data engineering initiative focused on building AI-assisted data pipelines using the latest cloud technologies, leveraging AI coding assistants to automate the data lifecycle.

Responsibilities

Build and maintain data pipelines from source systems into Snowflake
Configure and manage Fivetran data ingestion
Develop dbt models, tests, macros and documentation
Design staging, intermediate, mart and semantic data layers
Define and implement data contracts

Requirements

Nice to have: Claude Code
Nice to have: MCP (Model Context Protocol)
Nice to have: Cursor
Nice to have: Semantic Layers
Nice to have: Data Contracts

Skills

Snowflake dbt Cloud SQL data modeling ELT data pipelines Fivetran Git CI/CD

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