Principal Engineer (Engineering Manager) — Data Platform Job at Financial Times (Sofia)

Principal Data Platform Engineer Vice President

We are seeking an exceptionally skilled and motivated Principal Data Platform En...

Location

United States , Irving; Jacksonville

Salary:

125760.00 - 188640.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role with extensive Python and/or big data expertise
Python/Pyspark Mastery
Big Data Technologies & Platforms: Extensive experience (8+ years) architecting, designing, implementing, and managing solutions within distributed data processing platforms, specifically with the Hadoop ecosystem (preferably Cloudera distributions). Proficient in leveraging key big data components such as distributed file systems (e.g., HDFS), data warehousing solutions (e.g., Hive), data transformation frameworks (e.g., Pig), and data ingestion tools (e.g., Sqoop), alongside hands-on experience with NoSQL databases (preferably MongoDB)
ETL Architecture & Development: Proven ability to architect, design, and implement highly scalable data pipelines. Extensive experience leveraging industry-standard ETL tools and frameworks for efficient data extraction, transformation, and loading into various relational databases and data warehouses, coupled with a strategic vision and planning experience for migrating to cloud-native, serverless ETL solutions
Data Architecture & Strategic Modeling: Understanding of advanced data modeling principles and practical experience in data warehouse design and development, ensuring data integrity, scalability, security, and optimal performance
AI-Powered Development: Ability to leverage advanced AI tools, such as Devin, for efficient code refactoring, optimization, and identifying potential code improvements, thereby enhancing code quality and developer productivity
DevOps, Version Control & Containerization: CI/CD pipelines, Git, Docker and Kubernetes
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Principal Platform Engineer - Data & AI

As a Principal Platform Engineer - Data & AI, you will architect and lead Data a...

Location

United States , San Diego

Salary:

190000.00 - 284000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science or equivalent experience
10+ years architecting AI/ML and Data Platform solutions
Experience building and scaling ML platforms for model training, deployment, and monitoring using large datasets
Expertise in modern technology stacks, APIs, microservices, and cloud Data and AI platforms
Excellent communication skills with ability to present to all levels of leadership
Demonstrated agile mindset focused on iterative improvement

Job Responsibility

Lead the technical evolution of data and AI/ML capabilities, ensuring incremental solution delivery and proactive risk management
Develop deep technical expertise across AI domains to guide cross-team initiatives and optimize productivity
Set and maintain high standards for data quality, platform reliability, and security while addressing scalability challenges
Drive strategic technical decisions that balance business needs with long-term sustainability across data and AI/ML initiatives
Mentor and coach data engineering teams, collaborate with engineering leadership, and provide actionable feedback for team growth
Effectively communicate technical concepts to both technical and non-technical stakeholders at all management levels
Provide thought leadership in data architecture, governance, and technology selection to shape company-wide technical direction

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance
sleep care management
Health Savings Account (HSA)
Flexible Spending Account (FSA)
commuter benefits
401(k)
Employee Stock Purchase Plan (ESPP)
Employee Assistance Program (EAP)
tuition assistance
fifteen days Paid Time Off (PTO) in their first year of employment

Fulltime

Principal Product Manager - Data Engineering

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
4+ years experience with Data Engineering in Cloud
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Own the end‑to‑end developer experience across notebooks, APIs, and AI‑assisted tooling (including MCP and CI/CD), enabling data engineers and professional developers to reliably build, scale, and operate Apache Spark workloads on Microsoft Fabric in the age of AI
Translate customer, partner, and field insights into clear product priorities that measurably improve usability, productivity, and operational readiness
Partner closely with engineering and partner teams to shape production‑grade Spark capabilities, including performance, reliability, security, and deep integration across the Microsoft Fabric ecosystem
Advance AI‑assisted developer workflows for data engineering, including Copilot‑powered experiences, that reduce friction and eliminate operational complexity in real‑world Spark workloads
Represent the Spark developer experience in cross‑team and platform‑level decision making, aligning stakeholders across Azure Data, Fabric, and Real‑Time Intelligence to deliver cohesive outcomes at scale
Embody Microsoft’s culture and values by operating with a growth mindset, customer obsession, accountability, and inclusive collaboration—driving impact through influence rather than people management

Fulltime

Principal Software Engineering Manager - Data Analytics

Build and operate core infrastructure services that power Fabric Data Engineerin...

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
4+ years people management experience.
Software engineering foundation (data structures, algorithms, testing, debugging, performance) with the ability to guide and review technical decisions.
Demonstrated experience leading teams that build and ship production infrastructure (backend services, distributed systems, platform components) in cloud environments.
Understanding of distributed systems concepts, including fault tolerance, scaling, scheduling, and resource management, and ability to apply them to team-level architecture.
Proficiency in at least one backend/system language (e.g., Java, Scala, C#, C++, Python) and the ability to stay hands-on enough to unblock teams and assess designs.
Proven ability to ramp up quickly in new domains, tools, and codebases
growth mindset and learning agility.

Job Responsibility

Lead the design and delivery of world-class experiences for a new big data cloud offering, with emphasis on scale, reliability, and performance.
Manage and grow a team building core infrastructure services for data engineering and analytics workloads (compute, runtime services, job/session management, configuration, platform integrations).
Own technical strategy and execution end-to-end: translate product requirements into architecture, milestones, and high-quality production outcomes.
Drive operational excellence by establishing troubleshooting practices (logs, metrics, traces), guiding root-cause analysis, and converting operational learnings into engineering improvements.
Improve platform scalability, resiliency, and observability, including automation to reduce operational toil
ensure best practices are adopted consistently across the team.
Partner cross-functionally with product and engineering leaders to deliver end-to-end features, align priorities, and continuously raise the quality bar.
Coach and mentor engineers, provide technical guidance and performance feedback, and foster a culture of ownership, high standards, and continuous learning.

Fulltime

Principal Engineering Manager, Core Platform & AI Systems

We are looking for a Principal Engineering Manager, Core Platform & AI Systems t...

Location

United States , Seattle

Salary:

208000.00 - 313000.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience with 4+ years in engineering leadership roles
Experience managing senior/principal engineers, ideally across multiple functional areas
Strong technical background in cloud-native distributed systems, platform engineering, or AI/ML infrastructure
Proven track record of scaling SaaS platforms and leading teams responsible for mission-critical backend systems
Experience working closely with cross-functional teams such as Product, Infrastructure, AI/ML, and Security
Deep understanding of reliability, operational excellence, and cost optimization in cloud environments (AWS, Azure, GCP)
Excellent communication, collaboration, and executive stakeholder management skills
Passion for developing people and building strong, healthy engineering teams

Job Responsibility

Lead and grow the Core Platform & AI Systems team
Drive the technical roadmap for the platform, ensuring scalability, performance, availability, and cost-efficiency
Partner closely with product engineering teams to deliver platform capabilities that unlock business features while simplifying the developer experience
Collaborate with Data Science, ML, and AI teams to provide robust ML Ops and AI infrastructure that enables rapid experimentation and production-grade AI deployments
Own platform-wide reliability and operational health, continuously investing in observability, incident management, and system resilience
Contribute to architectural decisions that shape the long-term direction of Highspot’s SaaS platform
Attract, retain, and develop top engineering talent, building a high-performing and inclusive team culture
Communicate effectively with senior leadership, providing visibility into roadmap progress, technical trade-offs, and organizational needs

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Principal Data Genai Platform Engineer - Senior Vice President

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
Strong experience with event-driven architectures and streaming platforms (Kafka)
Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
Exceptional leadership, communication, stakeholder management, and decision-making capabilities
Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems

Job Responsibility

Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations

Fulltime

Principal Software Engineering Manager, Windows Platform & Developer Team

Windows is evolving beyond a platform for applications towards a foundation on w...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

Job Responsibility

Owning the technical direction for new agentic capabilities, from design to delivery
Lead cross-functional partnerships with product, design, data, leaders of internal Microsoft product groups, as well as external partnerships with each frontier artificial intelligence (AI) company
Lead, mentor, and grow a team of engineers, including running effective 1:1s, providing direct feedback, and building clear growth paths for engineers at each stage of their career
Recruiting and retaining top systems engineering talent, with a bias toward people who are curious about and energized by AI-native development
Represent your team's work to leadership, communicating judgement in trade-offs, communicating decisions, risks, and strategic context with clarity and confidence
Thought leadership for the broader organization

Fulltime

Principal ML Systems Engineer, Data Platform (Autonomous Vehicles)

We are seeking a highly skilled and experienced Principal ML Systems Engineer to...

Location

United States , Austin; Bellevue

Salary:

233400.00 - 339650.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BA or MS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field
10+ years in building distributed data platforms using major cloud providers and open-source frameworks
Expert-level proficiency in Java, C++, or Python, with a proven track record of designing and implementing robust, distributed systems
Expertise in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery
Experience optimizing services for cost efficiency, performance & reliability
Experience with Micro services architecture and proven ability to manage the full operational lifecycle of systems
Deep understanding of full ML model lifecycle (feature engineering, training, validation, deployment, monitoring, etc.)
Strong passion, and understanding about self-driving technology and its potential impact on the world
Experience working with (100+) petabyte-scale ingestion, processing, and serving architectures
Experience with SQL engines / queries

Job Responsibility

Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks
Leading the strategy of building performant and efficient multi-cloud platforms
Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption
Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap
Champion engineering & operational excellence by continuously improving systems and processes
Actively participate in team’s planning, code reviews and design discussions
Conduct technical interviews, onboard new and mentor junior engineers

What we offer

Relocation benefits
Company vehicle evaluation program
medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance

Fulltime

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Principal Engineer (Engineering Manager) — Data Platform

Job Description

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