United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Platform Engineer in United States.
As a Principal Data Platform Engineer, you will play a critical role in designing and leading the development of advanced data platforms and products. You will architect high-performance, fault-tolerant, and scalable solutions to support analytical and operational needs, while improving data curation, integration, and accessibility. This position requires deep technical expertise in distributed systems, real-time pipelines, and modern data technologies, combined with strong collaboration skills to work across teams. Your contributions will ensure data reliability, optimize performance, and enable impactful business insights across the organization. The role offers an innovative environment with opportunities to influence architecture, implement cutting-edge solutions, and guide best practices in a fast-growing, mission-driven team.
Accountabilities
- Architect, design, and implement high-performance, scalable, and fault-tolerant data solutions.
- Lead the development of data pipelines, integration workflows, and distributed storage/query systems.
- Implement data curation and onboarding solutions to streamline new data source integration.
- Collaborate with engineering, analytics, and product teams to ensure reliable and actionable data delivery.
- Develop automation tools to monitor and measure data quality, including user interfaces for visualization.
- Participate in design sessions, code reviews, and technical discussions to champion high-quality engineering standards.
- Evaluate and implement modern technologies and platforms to continuously improve the data ecosystem.
Requirements
- 10+ years of experience in software engineering or data engineering in high-traffic, fault-tolerant environments.
- Expertise in system architecture, design patterns, scalability, and reliability for data platforms.
- Hands-on experience building real-time data pipelines and distributed systems.
- Proficiency with Spark, Python, SQL, DBT, C#, and modern big data technologies (Snowflake, Athena, Pinot, Clickhouse, Flink, etc.).
- Experience with streaming platforms such as Kafka or Kinesis.
- Knowledge of generative AI tools for data engineering development (e.g., Copilot, Cursor).
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field.
- Strong problem-solving skills, collaborative mindset, and the ability to mentor or guide teams.
Benefits
- Competitive salary range: $221,400 - $296,100 USD (plus annual bonus, equity, and total compensation package).
- Flexible work hours, generous time off, and autonomy in projects.
- Comprehensive health benefits: medical, dental, vision (100% employer paid options and coverage for dependents), FSA/HSA, and telehealth memberships.
- Retirement support including 401k match.
- Family and life stage support: parental leave, fertility services, adoption and surrogacy reimbursement, maternity support, breast milk shipping, pet insurance, legal and financial planning tools.
- Professional development and leadership programs, learning opportunities, and recognition programs.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
