Full-Time
Manager Big Data Engineering – Databricks Lead
Publicis Groupe
10,001+ employees
Advertising, media planning, and digital marketing
Compensation Overview
$130k - $180k/yr
Atlanta, GA, USA
Hybrid
 Engineering Management (1) |
|---|
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- 10+ years of experience leading the implementation of enterprise-scale data platforms and end-to-end data engineering solutions in production environments.
- Hands-on experience with Databricks as a primary data engineering platform, including Delta Lake, Databricks Workflows, Databricks SQL, notebooks, jobs, and modern Lakehouse architecture patterns.
- Strong experience designing and implementing scalable data platforms on one or more public cloud platforms, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
- Advanced proficiency in Python and practical experience using Python-based frameworks for data engineering, platform automation, and AI-enabled engineering workflows.
- Strong expertise in Apache Spark, PySpark, Spark SQL, and distributed data processing technologies.
- Experience implementing both batch and real-time data pipelines using technologies such as Spark Streaming, Glue ETL, Lambda, Dataflow, Azure Data Factory, Databricks, or similar frameworks.
- Experience with data modeling, dimensional modeling, data warehousing, and modern architectural patterns including Lakehouse and data mesh approaches.
- Experience with columnar data platforms such as Snowflake, BigQuery, Redshift, Vertica, or similar technologies.
- Experience with NoSQL technologies such as DynamoDB, Bigtable, Cosmos DB, or equivalent distributed databases.
- Experience implementing software engineering best practices including source control, CI/CD, automated testing, release management, infrastructure automation, and production support processes.
- Familiarity with MLOps concepts and supporting data engineering responsibilities related to model deployment, validation, monitoring, rollback, governance, and operational reliability.
- Experience leading engineering teams, managing delivery workstreams, and collaborating across cross-functional and client-facing environments.
- Strong communication, stakeholder management, and consulting skills.
- Experience supporting AI-enabled solutions through the design and implementation of scalable, production-grade data platforms.
- Experience building and maintaining data pipelines that support retrieval systems, including document ingestion, parsing, chunking, metadata extraction, embedding generation, and incremental indexing processes.
- Experience supporting AI and machine learning lifecycle requirements, including evaluation datasets, monitoring, operational telemetry, validation workflows, release management, and platform observability.
- Understanding of platform requirements for managing agent state, conversation history, session context, memory stores, and durable retrieval structures that support AI-enabled applications.
- Ability to apply enterprise data engineering principles such as lineage, governance, provenance, observability, and data contracts to AI-enabled platforms and retrieval systems.
- Work closely with clients to translate complex business challenges into modern data platform solutions.
- Lead the architecture, design, and delivery of enterprise-scale data engineering solutions built on Databricks and cloud-native data platforms.
- Drive data modernization initiatives that migrate traditional data architectures to modern lakehouse and cloud-based ecosystems.
- Lead the development and optimization of batch and streaming data pipelines using Databricks, Spark, and cloud-native data services.
- Design scalable data foundations supporting analytics, machine learning, Generative AI, and AI-enabled experiences through high-quality data products and services.
- Partner with stakeholders to define data platform roadmaps, architecture standards, governance practices, and delivery approaches.
- Establish best practices for engineering excellence, performance optimization, data quality, observability, reliability, security, and operational support.
- Design scalable retrieval patterns, context engineering approaches, and modern data services for machine learning and agentic solutions.
- Conduct technical feasibility assessments, project estimation, architecture reviews, and solution planning for large-scale client engagements.
- Mentor and develop engineers while providing technical leadership, delivery oversight, and career guidance across multiple project teams.
- Contribute to practice growth through client engagement, solution development, capability building, hiring, and thought leadership.
- Experience supporting agentic frameworks, orchestration platforms, or emerging AI engineering technologies.
- Experience with Snowflake and zero-copy architecture patterns, particularly within retail, financial services, energy, logistics, manufacturing, or consumer packaged goods industries.
- Databricks Data Engineer Associate, Professional, or Machine Learning certification.
- Certifications in Amazon Web Services, Microsoft Azure, Google Cloud, Snowflake, or related cloud and data technologies.
- Experience leading Databricks-based modernization initiatives and enterprise-scale Lakehouse implementations.
- Demonstrated experience applying AI engineering concepts and Generative AI technologies in production business environments.
- Hands-on experience supporting AI, machine learning, and large language model lifecycle requirements, including deployment support, monitoring, validation, evaluation infrastructure, and operational governance.
- Experience in retail, financial services, energy, manufacturing, logistics, healthcare, consumer packaged goods, or other data-intensive industries.
- Experience working in consulting, digital transformation, or client-facing delivery environments.
- Understanding of Agile, product, and modern delivery methodologies.
Publicis Groupe is a global marketing and communications group that delivers a range of services including advertising, media planning and buying, digital marketing, and public relations. Its offerings combine data, technology, and creativity to help brands grow and engage with customers, often through tailored, performance-based engagements. The company operates through a network of agencies aligned under a single strategy, the 'Power of One' approach, which integrates capabilities to provide seamless and holistic solutions rather than separate, siloed services. Revenue mainly comes from service fees and performance-based contracts. The goal is to help clients transform digitally and achieve measurable growth across automotive, retail, and consumer goods sectors.
Company Size
10,001+
Company Stage
IPO
Headquarters
Paris, France
Founded
1926
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Simplify's Take
What believers are saying
- H1 2026 organic net revenue grew 4.5%, and Q2 accelerated to 4.8%.
- Publicis raised FY2026 guidance on August 23 2026, signaling stronger second-half momentum.
- 160over90 and AdgeAI acquisitions broaden sports, creator, and predictive-measurement capabilities.
What critics are saying
- India’s CCI antitrust probe targets Publicis over alleged ad-rate collusion, with court delay continuing.
- LiveRamp closes before year-end 2026, and integration risk hits Publicis’ AI strategy immediately.
- WPP’s Reuters turnaround notes Publicis has already won share, inviting tougher price competition.
What makes Publicis Groupe unique
- Publicis’ Power of One bundles media, creative, data, and tech into one accountable offer.
- LiveRamp acquisition, announced May 17 2026, deepens data collaboration and AI agent capabilities.
- H1 2026 retention stayed near 100%, showing clients still value integrated execution.
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Benefits
Remote Work Options
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Training Programs
Company News
Publicis refreshes its €2 billion sustainability-linked revolving credit facility with extended ma
Publicis to acquire LiveRamp to accelerate data co-creation for smarter agents
Publicis Groupe has agreed to acquire LiveRamp, a global data collaboration platform, for $2.2 billion in an all-cash transaction at $38.50 per share, representing a 29.8% premium to LiveRamp's closing price on 15 May 2026. LiveRamp connects over 25,000 publisher domains and 500+ technology partners across 14 markets, enabling brands, retailers and media platforms to unify and activate data securely. The company has 1,300 employees and delivered a trailing five-year compound annual growth rate of 13%. The acquisition will position Publicis as a leader in data co-creation, enabling clients to build more intelligent AI agents by combining multiple data sources securely. Publicis has raised its 2027-2028 growth objectives to 7-8% for net revenue and 8-10% for headline earnings per share. The transaction is expected to close before year-end 2026, subject to regulatory and shareholder approvals.
Mayo-born entrepreneur Niall McGarry has sold Fabric Social to Publicis Groupe UK, a division of the world's largest communications group. The company reported revenues of £13 million (€14.9 million) in the 12 months to March 2026 and employed 110 people at the time of sale. Fabric Social was profitable and served blue-chip clients in Britain including Sky, Subway EMEA, Currys, Morrisons, Just Eat, Autotrader, Holland & Barrett and Vodafone. The company also operated a smaller Irish business as a retained social agency. Financial terms of the deal were not disclosed.
Publicis Groupe has acquired sports marketing agency 160over90 from WME Group for an undisclosed sum, positioning sports as its "next big bet" for growth. The deal is pending regulatory approval. Founded in 2001, 160over90 employs over 670 people across the US, UK, EMEA and APAC, working with global brands on major sporting events including the Super Bowl, Olympics and World Cup. The agency will join Publicis Sports, led by CEO Suzy Deering. Publicis is forming a partnership with WME to enable collaborations between its agencies and WME's talent roster. The acquisition follows Publicis' purchases of sports agencies Adopt and Bespoke in 2025 and creator marketing agency Influential in 2024. Publicis reported $17.18 billion in net revenue in 2025, up 5.6% year-on-year.