Principal Product Manager, Data Governance & Lineage Job at Cloudera (Remote)

Principal Data Architect

We’re seeking a Principal Data Architect to lead strategic data modernization ad...

Location

United States; Canada

Salary:

170000.00 - 200000.00 USD / Year

Terazo

Expiration Date

Until further notice

Requirements

10+ years designing and delivering enterprise‑scale data solutions (with at least 5 years in cloud platforms such as Azure, Databricks, Snowflake, and/or AWS/GCP)
Proven experience working with Cloud Platforms and services
Proven experience migrating workloads to Cloud environments
Proven track record leading advisory and modernization programs end‑to‑end, from discovery through roadmap and into delivery oversight
Deep knowledge of enterprise data reference architecture, including Lakehouse/Medallion patterns, Mesh principles, CDC/streaming, and domain‑oriented data products
Expertise in data modeling (dimensional, 3NF, Data Vault), metadata/lineage, data quality, and observability
Hands-on governance with Unity Catalog (Databricks) and/or Microsoft Purview
pragmatic implementation of RBAC, lineage, and data masking
Strong grasp of governance (policy‑driven access, privacy/security, and regulatory expectations in banking such as GLBA, AML/KYC, BCBS 239), FinOps/cost management, and performance/scalability
Executive‑level communication and facilitation skills

Job Responsibility

Partner with Sales/Accounts to shape opportunities, conduct discovery, craft SOWs and proposals, build estimates/approaches, and present to executives
Lead executive advisory engagements that connect business value (growth, efficiency, risk) to a pragmatic data modernization strategy and investment plan
Define and validate target-state enterprise data architecture. Produce a phased, value‑anchored roadmap with clear outcomes, success metrics, and FinOps/budget guardrails. Build additional architecture artifacts to describe desired-state architecture
Design governance frameworks (policy-driven access, quality, lineage, metadata, ownership/stewardship, regulatory alignment) and connect them to measurable outcomes
Design reference architectures based on Cloud principles, such as the Well-Architected Framework
Own the reference architecture across Lakehouse, Warehouse, and Mesh patterns leveraging industry leading technologies
Define design patterns for ingestion, transformation, orchestration, and observability (monitoring, logging, alerting) that scale across domains
Mentor and coach architects, engineers, and analysts

What we offer

Pawreavement & Pawternity Leave: Two days off of work if you bring a new furry friend home, and two days off of work if you have to say goodbye to one
Unlimited PTO

Big Data and SQL Developer

The Big Data and SQL Developer is a senior level position responsible for establ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of progressive experience in software engineering, specifically focused on designing, building, and optimizing large-scale Big Data systems
Proven track record as a lead or principal engineer on significant data initiatives
Significant experience in client-facing or business partner-facing roles
Experience in the financial services domain – Liquidity Management, Liquidity Stress Modelling, should be well verse with Markets terminologies
Experience with large data volumes, real-time processing, and stringent data quality/security requirements
Expert-level proficiency with Apache Spark (Spark SQL, Spark Streaming, PySpark/Scala Spark), Hadoop ecosystem (HDFS, YARN)
Expert in Scala, Python, or Java
Deep understanding and practical experience with data warehouse models, and relevant technologies (e.g., Delta Lake, Iceberg, Parquet)
Strong proficiency in SQL
Experience with NoSQL databases (e.g., Cassandra, MongoDB) is a plus

Job Responsibility

Lead the design and implementation of highly scalable, robust, and performant Big Data solutions, including data warehouses, streaming platforms, and analytical systems
Write high-quality, production-ready code for complex data pipelines, processing frameworks, and analytical tools
Drive performance tuning, troubleshooting, and optimization of Big Data applications and infrastructure
Act as a go-to expert for resolving complex technical challenges across the Big Data ecosystem
Research, evaluate, and integrate new Big Data technologies and tools
Champion and enforce engineering best practices, including code quality, testing, CI/CD, and documentation
Provide technical leadership and guidance to multiple engineering teams
Mentor senior and junior engineers
Lead comprehensive code reviews
Contribute significantly to the Big Data strategy and roadmap

Fulltime

New

Principal Engineer

Wells Fargo is seeking a Principal Engineer. The Technology for the Chief Operat...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

February 04, 2026

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of technology strategic leadership experience
4+ years of management or leadership experience
7+ years in data engineering and cloud-based data architecture at scale
7+ years defining and executing data strategy for Data Lakes and Warehouses
3+ years leading AI/ML and Generative AI initiatives
5+ years delivering real-time data platforms using GCP services (Pub/Sub, Dataflow, BigQuery, Cloud Composer)
5+ years with data mesh architectures, query federation tools (Starburst, Trino), and decentralized governance
7+ years with data contracts, metadata management, and data quality frameworks
4+ years building high-performing data engineering teams and fostering innovation

Job Responsibility

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Platform Engineering & Architecture: Design and implement real-time and batch data architecture on GCP
Develop scalable data pipelines and orchestration frameworks for AI/ML, BI, and Generative AI use cases
Implement event-driven architectures leveraging Pub/Sub, Dataflow, BigQuery, and Cloud Composer
Build ingestion frameworks for structured/unstructured data using Apache Beam, Dataflow templates, and GCS

Fulltime

!

IT Systems Architect Principal

The IT Systems Architect Principal is central to BT International's ability to d...

Location

Hungary , Budapest

Salary:

Not provided

Plusnet

Expiration Date

Until further notice

Requirements

Strategic Architecture Leadership – Proven ability to define and communicate architectural vision for complex enterprise landscapes, with track record driving large-scale modernization programs in regulated industries
BSS Domain Expertise – Deep understanding of telco BSS systems including billing, order management, product catalog, CPQ and customer lifecycle management, with knowledge of how these capabilities support business operations
Platform Integration Architecture – Extensive experience designing API-first integration architectures, event-driven patterns and service abstraction layers that enable loose coupling in complex system landscapes
Vendor and Stakeholder Management – Strong ability to work with enterprise software vendors as strategic partners, negotiate technical implementations and manage complex stakeholder relationships across business and technology teams
Modernization Patterns – Expert knowledge of incremental modernization approaches that minimize risk while enabling continuous delivery
Technical Depth – Hands-on background in systems integration and architecture with coding capability in at least one language, enabling credibility with engineering teams and hands-on spike work when needed
Platform Engineering Mindset – Understanding of platform-as-a-product principles, developer experience design and how to build self-service capabilities that enable team autonomy at scale
Telco Transformation Context – Experience navigating organizational and technical challenges of telco modernization including regulatory requirements, billing accuracy, revenue assurance and operational continuity
Leadership and Influence – Ability to lead through influence rather than authority, build consensus across organizational boundaries and develop technical leadership capability in others
Strong engineering background with hands-on experience in software development or systems engineering, demonstrating technical credibility through active contribution to architecture implementations, POCs and technical spikes

Job Responsibility

Define and lead the architectural strategy for IT systems and BSS modernization across BT International, establishing the target state architecture that guides system rationalization, vendor consolidation and platform transformation initiatives
Own the application portfolio rationalization roadmap, making strategic keep/modernize/retire decisions based on technical fitness, business value and architectural alignment while managing stakeholder expectations
Establish API-first integration architecture that decouples BSS systems from each other and from product applications, creating clear service boundaries that enable independent team delivery and reduce system dependencies
Lead vendor rationalization strategy across SaaS platforms, on-premise systems and cloud-based solutions, reducing vendor dependencies through strategic build vs buy decisions and phasing out unnecessary third-party systems in favor of composable in-house capabilities
Champion modern architecture patterns including microservices, event-driven integration and API gateways that enable incremental transformation without big-bang rewrites
Collaborate with Data and AI architects to ensure IT systems generate high-quality data with proper lineage and governance, enabling analytics and AI capabilities across the platform
Drive architectural governance through design reviews and architecture conformance processes, ensuring solutions align with platform standards while empowering team autonomy and decision-making
Participate in technical spike work and proof-of-concepts to validate architectural decisions, evaluate integration approaches and prove out modernization strategies before committing to full implementation
Provide technical thought leadership on emerging platform architecture trends including composable architecture, API management and platform engineering, translating these into roadmaps that align with BT International's platform strategy
Mentor architects and engineers, fostering architectural thinking and technical leadership capability across both the architecture and product engineering organizations

What we offer

Cafeteria package - HUF 600,000/ year
Performance-based bonus
Comprehensive private health care package for all the employees, which can be extended to family members
Nursery support for mothers returning from maternity
Extended paternity leave: 10+10 day fully paid days
Commuting allowance
Home office allowance
Employee discount opportunities
Highly affordable mobile packages for the family as well
New high-class offices both in Budapest and Debrecen

Fulltime

Data & AI Engineer

As a Data & AI Engineer at NTT DATA, you will design and implement scalable data...

Location

Belgium , Diegem

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3–7+ years in data/AI engineering (or equivalent impact) delivering production systems on Azure
Python (production code, packaging, testing)
PySpark
SQL
Databricks (Repos/Workflows, Delta Lake, Unity Catalog, MLflow)
Azure AI Foundry (projects, prompt/eval flows, model endpoints)
Azure AI Search (index design, vector embeddings, skillsets/indexers, semantic search)
Azure OpenAI (prompt design, grounding, safety filters, function/tool calling, evaluation)
Terraform (AzureRM + Databricks providers), modular patterns, pipelines, approvals
Git & CI/CD (Azure DevOps or GitHub), code reviews, trunk‑based or GitFlow

Job Responsibility

Build reliable batch/stream pipelines in Databricks (Python/PySpark, SQL) with Delta Lake and Unity Catalog
Implement best practices for code quality, testing, documentation, lineage, and cost‑efficient performance
Design and deliver GenAI solutions using Azure AI Foundry (projects, prompt flow/evaluation), Azure OpenAI (chat/completions, tool/function calling), and Azure AI Search (indexing, vector search, semantic ranking) with robust RAG patterns
Instrument evaluation, grounding, safety checks, and quality metrics for AI features
Use MLflow for experiment tracking, model packaging, and deployment
standardize environments and feature stores where relevant
Build CI/CD for data and AI workloads (e.g., Azure DevOps/GitHub Actions) and implement monitoring & observability (logs, metrics, drift)
Provision Azure and Databricks resources with Terraform (modular design, workspaces/state, policies, service principals, Key Vault)
Apply RBAC, secrets management, data masking, and governance (Unity Catalog / Purview) with privacy‑by‑design and compliance best practices
Partner with product owners, architects, and SMEs to translate use‑cases into simple, secure, cost‑aware solutions

Fulltime

New

Principal Full Stack Engineer - Analytics Platform

Titan is Microsoft’s self-serve analytics platform, powering millions of queries...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science or related technical field AND 6+ years of engineering experience designing and operating production-scale systems with strong UX focus, with coding in languages including, but not limited to, Python, C++, C#, Java, or JavaScript
OR equivalent experience
Front-end expertise: React, TypeScript, state management, performance, accessibility, data visualization (ECharts, Vega Lite, D3)
Back-end experience: Node.js, Python, REST, GraphQL, microservices, asynchronous messaging, caching
Strong SQL optimization and familiarity with columnar formats (Parquet, Delta, Iceberg)
Cloud experience: Azure, CI/CD, containers, Kubernetes, infrastructure as code
Security and reliability: OAuth, OpenID Connect, Azure AD, RBAC/ABAC, auditing, lineage, SLO ownership, incident response
Apache Superset customization (plug-ins, embedding, dashboard performance, security integration)
Experience with Databricks, Spark, ClickHouse, StarRocks, Cosmos DB, lakehouse/HDFS patterns
Knowledge of experimentation frameworks, semantic layers, data catalogs, lineage, Microsoft Purview

Job Responsibility

Architect and deliver intuitive analytics workflows for all skill levels: no code slice and dice, guided analysis, SQL, notebooks, and interactive app frameworks (e.g., Streamlit or Dash like)
Advance security and governance with role based and attribute based access control, row and column level security, auditing, lineage, and cost controls
standardize metrics and the semantic layer across APIs, notebooks, and experiments
Drive performance and reliability by meeting latency and Service Level Objective (SLO) targets
apply caching, pushdown, and incremental compute
build robust observability with tracing, metrics, and logs
Mentor and empower globally distributed teams
collaborate across product, design, data engineering, privacy, and security
foster inclusive engineering practices
Infuse AI into analytics: natural language queries, automated insights, anomaly detection, and narrative summaries with clear governance guardrails

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

New

Technical Product Marketing Specialist

We’re seeking a Technical Product Marketing Specialist who thrives at the inters...

Location

United States , Huntsville

Salary:

Not provided

SSP Innovations

Expiration Date

Until further notice

Requirements

3–5 years of experience in product marketing, technical enablement, solutions consulting, sales engineering, or a similar role supporting B2B software
Demonstrated ability to understand complex software systems and communicate their value clearly
Experience supporting technical B2B sales cycles with sales-facing materials and enablement assets
Comfortable working closely with Product Managers, Engineers, and Sales Engineers
Strong written and verbal communication skills, with an emphasis on clarity, accuracy, and structure

Job Responsibility

Build and maintain a strong working knowledge of 3-GIS software, including workflows, data models, and integrations
Partner closely with Product Management to understand new features, releases, and roadmap priorities
Translate technical functionality into clear, accurate product narratives that resonate with buyers and technical stakeholders
Own sales enablement for assigned product lines, including: Pitch decks and solution overviews
Product capability and use-case walkthroughs
Demo storyboards and narrative frameworks
Competitive positioning and objection-handling guidance
Support Sales and Sales Engineering teams with the tools and language needed to confidently communicate product value
Maintain core product messaging, positioning statements, and value propositions
Support go-to-market planning for product launches and major updates

Fulltime

Principal Product Manager, Data Governance & Lineage

Cloudera

Location:
Israel , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 01, 2026

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