Lead Data Integration Architect for Scalable Pipelines

EPAM Systems

Turkey

On-site

TRY 5,923,000 - 8,885,000

Full time

31 hours ago
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Benefits offered by this job

Learning platforms access
English courses taught by certified老师
Private health insurance
Extra leave days
Referral bonuses

Job summary

EPAM Systems is seeking an experienced Lead Data Integration Engineer to lead a data solutions team and architect complex, enterprise-grade data pipelines. You will guide 5+ engineers, shape cloud-native and hybrid architectures, and promote best practices in data security and scalability.

The role requires deep expertise in ETL, orchestration tools, and modern software development practices, with a focus on delivering robust pipelines and actionable data assets for enterprise clients.

Qualifications

  • 5+ years in data management, database design, migration, storage, and advanced data modeling.
  • Experience leading and mentoring data engineering teams (4–7 engineers preferred).
  • Hands-on with Talend, AWS Glue, Azure Data Factory, GCP Dataflow or Apache NiFi.
  • Strong orchestration and scheduling experience (Apache Airflow/Astronomer).
  • Coding skills in SQL, Python (PySpark, Pandas), Scala, SparkSQL, or Bash.

Responsibilities

  • Guide a team of data integration and ETL engineers, manage sprint planning, resource allocation, and risk management.
  • Conduct regular code reviews and set up testing frameworks for compliant, high-performing, secure code (SQL, Python, Scala).
  • Promote modern software practices (CI/CD, Git, modular design, automated alerting).
  • Architect end-to-end data pipelines using serverless or hybrid setups.
  • Establish robust scheduling/orchestration with Airflow or cloud schedulers for high reliability (>99.5%).
  • Model and maintain scalable data systems (OLAP/OLTP, Star/Snowflake, Data Lakes/Lakehouses/Data Meshes).
  • Implement ingestion patterns, CDC, micro-batching, delta extracts, and partition maintenance.
  • Translate requirements into detailed technical specs and data-flow diagrams with stakeholders.
  • Present architectures to C-level executives highlighting ROI and performance gains.

Skills

Data modeling
Team leadership
SQL
Python
Scala
SparkSQL
Cloud platforms
English communication

Tools

Talend
AWS Glue
Azure Data Factory
GCP Dataflow
Apache NiFi
Apache Airflow (Astronomer)

Job description

EPAM Systems is seeking an experienced Lead Data Integration Engineer to lead a data solutions team and architect complex, enterprise-grade data pipelines. You will guide 5+ engineers, shape cloud-native and hybrid architectures, and promote best practices in data security and scalability.

The role requires deep expertise in ETL, orchestration tools, and modern software development practices, with a focus on delivering robust pipelines and actionable data assets for enterprise clients.

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