Your mission is high-stakes: you will own and scale one of our most significant Strategic Scaleups (Digital Natives) in the region. This isn't just a sales role; it is a partnership with a global unicorn that has transitioned into a massive enterprise. You will guide them through the next frontier of AI transformation.

The Impact You Will Have

• Architect the Strategy: Co-author a multi-year business plan with your team and ecosystem partners to exceed quarterly booking goals and accelerate customer usage.
• Master the Use Case: Lead a 'Special Forces' team of technical experts and partners to identify high-impact Big Data and AI use cases, proving the undeniable value of the Databricks Platform.
• Drive Transformation: Execute your customer's AI roadmap through a blend of strategic partnerships, expert professional services, and high-level Executive Engagement.
• Build Technical Trust: Develop a deep understanding of our product roadmap to become a trusted advisor to both C-level visionaries and technical champions.

What We Look For

• The 'Unicorn' Expert: Proven experience building deep, influential relationships with large, global 'mature unicorns.' You understand the high-velocity, high-complexity culture of Digital Natives.
• Industry Pedigree: Deep roots in the Big Data, Cloud, or SaaS sectors. You don't just know the buzzwords; you understand the architecture.
• A Track Record of Winning: Consistent history of over-achieving quotas at high-growth Enterprise software companies.
• Consumption Model Mastery: Experience driving usage-based and 'commit-and-expand' engagement models.
• Ecosystem Orchestrator: Skilled in co-selling with Cloud Giants (AWS, Azure, GCP) and Global Systems Integrators (GSIs).
• Value-Based Seller: Expert at building data-driven business cases that secure immediate buy-in from C-level executives.
• Language: Professional proficiency in English

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI's strategic direction.

This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.

Responsibilities:

• AI Model Development & Training Platform

Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.

• Data, Simulation & Synthetic Data Factory

Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation. Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.

• Safe Deployment & Model Governance

Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence. Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments. Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.

• Edge Deployment & AI Factory Integration

Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.

• Cross-Functional Leadership

Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.

• User & Customer Impact

Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. Lead demos and onboarding for model-development capabilities across internal and external teams.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.

Responsibilities

• Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
• Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.
• Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.
• Debugging, troubleshooting, and reducing operational burden for our Data Platform.
• Growing the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications

• 5+ years of software engineering experience
• Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
• Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.
• Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.
• Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.
• Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Objective: Designs and develops Data/Domain IT architecture (integrated process, applications, data and technology) solutions to business problems in alignment with the Enterprise Architecture direction and standards.

Key Responsibilities:

• Utilizes in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery.
• Solves complex problems and partners effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization.
• Works independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge.
• Reviews high level design to ensure alignment to Solution Architecture.
• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives.
• Mentor developers and create reference implementations/frameworks.
• Partners with System Architects to elaborate capabilities and features.
• Delivers single domain architecture solutions and executes continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline.

Requirements:

• Over 6 years of experience as a senior domain architect for Data domains
• Advanced English Level
• Masters' degree (PLUS)
• Insurance Experience (PLUS) Financial Services (PLUS)

Technical & Business Skills:

• ETL/ELT Tools (Informatica, DBT) - Advanced (7+ Years)
• Data Architecture / Data Modeling – Advanced (MUST)
• Data Warehouse – Advanced (MUST)
• Cloud Data Platforms - Advanced
• Data Integration Tools – Advanced
• Snowflake or Databricks - Intermediate (4-6 Years) MUST
• Any Cloud - Intermediate (4-6 Years)
• Power BI or Tableau - Intermediate (4-6 Years)
• Data Science tools (Sagemaker, Databricks) - Intermediate (4-6 Years)
• Data Lakehouse – Intermediate (MUST)

• Data Governance - Intermediate
• AI/ML - Entry Level (PLUS)
• Master Data Management - Intermediate
• Operational Data Management - Intermediate

Benefits:

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.

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We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

Objective: Designs and develops Data/Domain IT architecture (integrated process, applications, data and technology) solutions to business problems in alignment with the Enterprise Architecture direction and standards.

**Key Responsibilities:*

• Utilizes in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery.

• Solves complex problems and partners effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization.

• Works independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge.

• Reviews high level design to ensure alignment to Solution Architecture.

• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives.

• Mentor developers and create reference implementations/frameworks.

• Partners with System Architects to elaborate capabilities and features.

• Delivers single domain architecture solutions and executes continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline.

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What to expect on your journey with us:

• A solid and innovative company with a strong market presence
• A dynamic, diverse, and multicultural work environment
• Leaders with deep market knowledge and strategic vision
• Continuous learning and development

Key Responsibilities:

• Utilize in-depth conceptual and practical knowledge in Domain Architecture and basic knowledge of related job disciplines to perform complex technical planning, architecture development and modification of specifications for Domain solution delivery
• Solve complex problems and partner effectively to execute broad, continuous Domain level architecture improvement roadmaps that impacts the organization
• Work independently, receives minimal guidance and direction to solve for and influence Enterprise and System architecture through Domain level knowledge
• Review high level design to ensure alignment to Solution Architecture
• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives
• Mentor developers and create reference implementations/frameworks
• Partner with System Architects to elaborate capabilities and features
• Deliver single domain architecture solutions and execute continuous domain level architecture improvement roadmap. Actively supports design and steering of a continuous delivery pipeline

Requirements:

• Over 6 years of experience as a senior domain architect for Data domains
• Advanced English Level
• Masters' degree (PLUS)
• Insurance Experience (PLUS) Financial Services (PLUS)

Technical & Business Skills:

• ETL/ELT Tools (Informatica, DBT) - Advanced (7+ Years)
• Data Architecture / Data Modeling – Advanced (MUST)
• Data Warehouse – Advanced (MUST)
• Cloud Data Platforms - Advanced
• Data Integration Tools – Advanced
• Snowflake or Databricks - Intermediate (4-6 Years) MUST
• Any Cloud - Intermediate (4-6 Years)
• Power BI or Tableau - Intermediate (4-6 Years)
• Data Science tools (Sagemaker, Databricks) - Intermediate (4-6 Years)
• Data Lakehouse – Intermediate (MUST)

Benefits:

• A competitive salary and performance-based bonuses
• Comprehensive benefits package
• Flexible work arrangements (remote and/or office-based)
• Private Health Insurance
• Paid Time Off
• Training & Development opportunities in partnership with renowned companies

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.

Job Purpose

We are seeking a highly skilled and motivated Data Engineer to join our growing data and analytics team. The ideal candidate will have strong experience designing and developing scalable data pipelines, integrating complex systems, and optimizing data workflows. Proficiency in Databricks and SAP Datasphere is preferred, as these platforms are central to our data ecosystem.

How You Make an Impact (Job Accountabilities)

• Design, build, and maintain robust, scalable, and high-performance data pipelines using Databricks and SAP Datasphere.
• Collaborate with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions aligned with stakeholders' goals.
• Integrate diverse data sources (e.g., SAP, APIs, flat files, cloud storage) into the enterprise data platforms
• Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
• Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
• Create documentation for the platform infrastructure and processes, and train other team members or users in platform effectively.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5-7+ years of experience in a data engineering or related role.
• Strong knowledge of data engineering principles, data warehousing concepts, and modern data architecture.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud platforms (e.g., Azure, AWS, or GCP), particularly in data services.
• Familiarity with data orchestration tools (e.g., PySpark, Airflow, Azure Data Factory) and CI/CD pipelines.

Competencies Desired

• Hands-on experience with Databricks (including Spark/PySpark, Delta Lake, MLflow, Unity Catalog, etc.).
• Practical experience working with SAP Datasphere (or SAP Data Warehouse Cloud) in data modeling and data integration scenarios.
• SAP BW or SAP HANA experience is a plus.
• Experience with BI tools like Power BI or Tableau.
• Understanding of data governance frameworks and data security best practices.
• Exposure to data lakehouse architecture and real-time streaming data pipelines.
• Certifications in Databricks, SAP, or cloud platforms are advantageous.

Working Conditions / Physical Requirements / Travel Requirements

• Normal Office environment.
• Prolonged periods of computer use and frequent participation in meetings
• Occasional walking, standing, and light lifting (up to 10 lbs)

• Minimal travel required.

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