{"id":347743,"url":"https://alion.io/job/reply-manager-data-engineering-2","title":"Manager, Data Engineering","company":{"id":865,"name":"Reply","domain":"reply.com","url":"https://alion.io/company/reply-polska-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":70,"open_postings":46,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","Detroit, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":199000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"Master Data Management","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Spark","optional":false},{"name":"Azure AKS","optional":true},{"name":"Collibra","optional":true},{"name":"Docker","optional":true},{"name":"Fivetran","optional":true},{"name":"GitHub","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-03-27T19:43:48Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-11-04T09:50:20Z","board_verified":true,"closed_at":null,"days_open":221,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":221},"description":"Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.\nAt Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.\nResponsibilities\nAssist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals\nContributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs\nProviding leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture\nStaying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops\nDefining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks\nCollaborating with project management to plan work for delivery teams and verifying quality deliverables\nMinimum Requirements\nBachelor’s degree in computer science or related field\n12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects\n4 years of experience in a consulting role working directly with Enterprise customers\nExpertise 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\nDeep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI\nExperience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements\nExperience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements\nExcellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies\nPreferred Qualifications\nAbility to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps\nKnowledge and familiarity with Microsoft Purview\nDevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)\nBroad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft\nExperience with industry leading data tools, such as Profisee, FiveTran, DBT, and 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