Senior Data Platform Engineer

Jobtailor; Deutschland; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor seeks an experienced Data Platform Engineer to architect and operate core data platform capabilities. You will build APIs for data access, ingestion, and query execution, and develop scalable connector frameworks.

The role focuses on performance optimization, reliability, and production-grade backend services. Ideal candidates have 4+ years in data platform roles, strong Python and SQL, and familiarity with lakehouse tech, workflows, and containerized infrastructure.

Qualifikationen

• At least 4+ years of experience as a Data Platform Engineer.
• Strong Python and SQL skills.
• Experience building maintainable, tested production software.
• Experience developing backend services, data infrastructure, or data platform components beyond configuring pipelines.
• Solid understanding of relational databases, query optimization, data formats, and tradeoffs between querying data in place and materializing it elsewhere.
• Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging.
• Ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs.
• Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure is nice to have.
• Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant.
• Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code is nice to have.
• Authorization to work in the U.S.
• Must answer whether immigration sponsorship is required now or in the future

Aufgaben

• Build core data platform capabilities, including services and APIs for data access, query execution, ingestion, and synchronization
• Build reusable connector frameworks and abstractions supporting different systems and access patterns
• Identify bottlenecks in querying and data movement and improve performance through partitioning, parallelism, and effective memory and storage management
• Build orchestration, retries, checkpointing, and observability for reliable workload recovery and data correctness
• Take capabilities from design to production
• Work with product and engineering teams to define interfaces and make architectural tradeoffs
• Operate the systems and capabilities built

Kenntnisse

Python Programming

SQL Proficiency

Data Platform Engineering

Query Optimization

Cloud Infrastructure

Distributed Workloads

Containerized Infrastructure

Infrastructure as Code

Identity and Access Management (IAM)

Tools

Containerized Infrastructure

Infrastructure as Code

Identity and Access Management (IAM)

Jobbeschreibung

• Build core data platform capabilities, including services and APIs for data access, query execution, ingestion, and synchronization
• Build reusable connector frameworks and abstractions supporting different systems and access patterns
• Identify bottlenecks in querying and data movement and improve performance through partitioning, parallelism, and effective memory and storage management
• Build orchestration, retries, checkpointing, and observability for reliable workload recovery and data correctness
• Take capabilities from design to production
• Work with product and engineering teams to define interfaces and make architectural tradeoffs
• Operate the systems and capabilities built

Requirements

• At least 4+ years of experience as a Data Platform Engineer
• Strong Python and SQL skills
• Experience building maintainable, tested production software
• Experience developing backend services, data infrastructure, or data platform components beyond configuring pipelines
• Solid understanding of relational databases, query optimization, data formats, and tradeoffs between querying data in place and materializing it elsewhere
• Experience with concurrent or distributed workloads, including failure handling, resource management, and performance debugging
• Ability to investigate unfamiliar systems and turn complex requirements into clear, practical designs
• Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise-system integrations, or containerized infrastructure is nice to have
• Experience building connector libraries, developer-facing APIs, or shared platforms used by other engineering teams is especially relevant
• Familiarity with cloud infrastructure (AWS, Azure, or GCP), including networking, storage, identity and access management (IAM), and infrastructure as code is nice to have
• Authorization to work in the U.S.
• Must answer whether immigration sponsorship is required now or in the future

Core Competencies

Demonstrates expertise in building core data platform capabilities, including services and APIs for data access and query execution, while ensuring performance optimization and reliable workload recovery. Proficient in Python and SQL, with a solid understanding of relational databases and cloud infrastructure.

Highest-signal resume keywords

• Python Programming
• SQL Proficiency
• Data Platform Engineering
• Query Optimization
• Cloud Infrastructure (AWS, Azure, GCP)

Hard Skills

• Data Access Services
• Query Execution
• Data Ingestion
• Data Synchronization
• Backend Service Development
• Relational Database Management
• Performance Debugging
• Analytical Query Engines
• Connector Library Development
• Workflow Orchestration

Soft Skills

• Problem Solving
• Collaboration
• Design Thinking

Industry Keywords

• Data Infrastructure
• Distributed Workloads
• Enterprise-System Integrations
• Data Formats
• Workload Recovery

Tools & Technologies

• Containerized Infrastructure
• Infrastructure as Code
• Identity and Access Management (IAM)