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Reply

Consulting and system integration across sectors

Manager Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time$160k - $190k

About the Job

Requirements

  • A bachelor's degree in computer science or a related field.
  • At least 12 years of industry experience, including the four most recent years as a hands-on manager leading a team on enterprise-scale data platform projects.
  • At least four years of experience in a consulting role working directly with enterprise customers.
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL.
  • Deep expertise with Databricks, including designing enterprise-level strategy and architecture involving Unity Catalog, data warehousing, data sharing, and Mosaic AI.
  • Experience establishing end-to-end modern data platforms in Azure, including architecture and design, ingestion, storage strategies, analytics and reporting, Apache Spark, and networking requirements.
  • Experience establishing customer data management strategies, including data governance, data security, master data management, and familiarity with different industry security requirements.
  • Ability to communicate concepts clearly to teammates and customers and learn new concepts and technologies quickly.

Responsibilities

  • Assist with new business development and technical sales through developing proposals, estimates, statements of work, and requests for proposals.
  • Contribute to and oversee successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs.
  • Provide leadership, coaching, and mentorship to team members, support their professional development, and establish a learning culture.
  • Stay current on data technology trends and share expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops.
  • Define data roadmaps at the executive level for clients and develop detailed plans for data and AI governance frameworks.
  • Collaborate with project management to plan work for delivery teams and verify the quality of deliverables.

Desired Qualifications

  • Ability to create working environments for data engineers and scientists, and general knowledge of machine learning, artificial intelligence, large language models, and MLOps.
  • Knowledge of Microsoft Purview.
  • Experience with data DevOps, GitHub, automated testing, and containers, including AKS, Docker, and registries.
  • Broad experience with data and reporting tools, architectures, cloud vendors, and data and AI concepts beyond Microsoft.
  • Experience with industry-leading data tools, such as Profisee, Fivetran, dbt, and Collibra.

About the Company

Reply

Consulting and system integration across sectors

Reply designs and implements solutions based on new communication channels and digital media, organized as a network of specialized firms that provide consulting, system integration, and digital services. It helps organizations adopt digital business models by combining advisory, technology services, and implementation, including data analysis, cloud architecture, IoT deployment, and digital media integration. It differentiates itself by offering cross‑domain, tailor-made solutions through a network of experts rather than a single vendor, focusing on business‑model design around big data, cloud, IoT, and digital media. Its goal is to help clients unlock value, streamline operations, and transform their businesses across sectors.

Company size
10,001+
Company stage
IPO
Headquarters
Turin, Italy
Founded
1996

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