Senior Data Engineer — Cloud Data Warehousing & Pipelines

Relatient

United States

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Life Insurance (employee & household)
Accident Coverage
Education Reimbursement
Holidays (10+ days)

Job summary

Relatient is hiring a Lead Data Engineer to drive data platform modernization and scalable data solutions. You will architect data warehouses, define modeling standards, and build robust ETL/ELT pipelines across cloud and on‑prem environments.

You will integrate data from ERP, CRM, APIs, and streaming sources while ensuring data quality, governance, and security. The role demands leadership, collaboration with DevOps, and mentoring for best practices.

Qualifications

  • Bachelor’s degree in computer science or related field or equivalent experience.
  • 9+ years of software or data engineering with increasing responsibility.
  • Experience with at least one data warehouse platform (Snowflake/Redshift/BigQuery/Postgres).
  • Strong SQL skills and ETL/ELT pipeline experience.
  • Knowledge of data modeling (dimensional/normalized).
  • Experience in cloud environments (AWS preferred).
  • Familiarity with data governance, security, and compliance best practices.
  • Experience with Power BI for reporting.

Responsibilities

  • Architect and implement scalable data warehouse solutions across cloud and on‑premises platforms.
  • Define and enforce data modeling standards (dimensional/normalized).
  • Build and optimize ETL/ELT pipelines for reliable ingestion and transformation.
  • Integrate data from ERP, CRM, APIs, files, and streaming sources.
  • Develop secure, scalable data pipelines with high performance.
  • Ensure data quality, lineage, and consistency across platforms.
  • Support batch and near real‑time data processing needs.
  • Optimize SQL, schemas, indexing, and partitioning for performance.
  • Monitor data platform performance and storage efficiency.
  • Implement availability, backup, disaster recovery, and security practices.
  • Collaborate with DevOps for reliable deployment and monitoring.
  • Translate business requirements into scalable data solutions.
  • Provide technical leadership and guide platform modernization.
  • Lead initiatives and mentor engineers on best practices.

Skills

Snowflake
Redshift
BigQuery
Postgres
Advanced SQL
AWS
ETL/ELT
Data governance
Power BI
Leadership

Education

Bachelor's degree

Tools

Git
Airflow
Kubernetes

Job description

Relatient is hiring a Lead Data Engineer to drive data platform modernization and scalable data solutions. You will architect data warehouses, define modeling standards, and build robust ETL/ELT pipelines across cloud and on‑prem environments.

You will integrate data from ERP, CRM, APIs, and streaming sources while ensuring data quality, governance, and security. The role demands leadership, collaboration with DevOps, and mentoring for best practices.

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