Oracle Cloud Data Conversion Lead

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$94,400–$266,300 / yr
Posted
32 days ago
Closes
Jun 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $180k
$74k most similar roles pay here $287k

This role pays more than 58% of similar roles. Most pay $137,475–$208,062 — the shaded band above. At the midpoint, this role pays about $180k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Oracle Cloud Data Conversion Lead

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As a Data Conversion Lead at Accenture Technology Centers (ATCs), you will design and develop data solutions for generating, collecting, and processing client data. Your role involves leading the creation of efficient data pipelines and ETL processes to ensure seamless data migration across systems while maintaining high standards of data quality. You will collaborate with cross-functional teams, manage your team’s performance, and contribute to strategic decisions. The position requires advanced proficiency in Oracle Cloud, ETL processes, and data pipeline optimization, along with a strong understanding of data accessibility and usability. This hybrid role based in Atlanta, GA demands three days per week in the office as you tackle complex client challenges using cutting-edge technology skills.

Skills

Oracle Cloud ETL Data Pipelines Data Quality Management CI/CD Python SQL Apache Spark Hadoop Kafka Docker Kubernetes Terraform AWS Azure PostgreSQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

  • Lead the design and implementation of data pipelines and ETL processes.
  • Monitor and optimize data pipelines for performance and reliability.
  • Conduct data quality assessments and implement necessary improvements.
  • Stay updated with industry trends and best practices in data engineering.
  • Collaborate with cross-functional teams to ensure effective data solutions.

What we're looking for

  • At least 8 years of experience in Data Engineering with a focus on data migrations.
  • Minimum 4 years of hands-on experience with Oracle Cloud.
  • Proven ability to lead the design and implementation of ETL processes and data pipelines.
  • Expertise in conducting data quality assessments and implementing improvements.
  • Strong understanding of data accessibility, usability, and performance optimization techniques.
  • Advanced proficiency in managing and optimizing data solutions for reliability.

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