Lead Data Engineer, AI & Modernization
Accenture
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How this pay compares to similar roles
This role pays more than 56% of similar roles. Most pay $140,000–$222,033 — the blue band above. At the midpoint, this role pays about $194k versus about $181k for comparable roles.
Based on 240 similar postings.
Employer
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 219 open roles on FindRole.
Listed pay typically runs $94,400–$266,300 across 160 roles with salary data.
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At a glance
The Data Engineering Manager – AI & Data Modernization leads data engineering work on modernization engagements within the Digital Core Reinvention practice. The role involves building batch and streaming pipelines, productizing data for AI consumption, and establishing data-plane governance, including cataloging, quality, lineage, and observability. The successful candidate will design foundations for both AI workloads and classical analytics. Required technical skills include Python, SQL, and experience with at least one cloud data platform, streaming technologies like Kafka, and orchestration tools such as Airflow. Candidates should possess hands-on experience with LLM-based systems and production-scale engineering. The work focuses on creating resilient, trusted data foundations and lakehouse substrates to power AI at scale, ensuring that data flowing into models and agents is reliable and governed.
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