{"id":3840220,"url":"https://alion.io/job/dentsu-data-engineering-lead","title":"Data Engineering Lead","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":158,"ghost_share":0.019,"stale_share":0.703,"repost_share":0.057,"time_to_fill_p50_days":30,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"Salesforce Data Cloud","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T22:24:56Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T01:04:55Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nLead the Data Teams Powering Modern Customer Experiences\nYou know great data engineering is about more than pipelines and platforms. It's about helping people make smarter decisions, creating reliable data foundations, and enabling meaningful customer experiences at scale.\nAs a Data Engineering Lead, you'll guide talented engineering teams, shape technical strategy, partner with clients, and influence how modern data platforms are built and operated. You'll balance leadership with hands-on technical involvement, helping teams solve complex challenges while delivering measurable business outcomes.\nThis is a true player-coach opportunity where you'll lead people, drive delivery excellence, and help define the future of data engineering, cloud platforms, AI-enabled solutions, and customer data ecosystems.\nWhat You'll Do\nLead and Grow High-Performing Teams\nYou'll support the development of Data Engineers by providing coaching, mentorship, career guidance, and opportunities for growth. You'll help create an environment where team members can learn, contribute, and thrive.\nDrive Technical Delivery\nYou'll oversee complex data engineering initiatives, partnering with Solution Architects and stakeholders to deliver scalable, high-quality data solutions. You'll help guide technical decisions, manage delivery risks, and ensure successful outcomes across multiple engagements.\nShape Engineering Excellence\nYou'll establish and promote best practices across data engineering, including CI/CD, testing, code reviews, observability, data quality, documentation, and governance. You'll help create repeatable approaches that enable teams to deliver consistently and effectively.\nPartner with Clients and Stakeholders\nYou'll collaborate with client leaders, business stakeholders, architects, and delivery teams to translate business goals into actionable engineering solutions. You'll communicate complex technical concepts in a way that supports informed decision-making and successful project outcomes.\nInnovate with AI and Emerging Technologies\nYou'll help evaluate and adopt modern technologies, including AI-assisted engineering tools, cloud-native analytics platforms, warehouse-native AI solutions, and next-generation data architecture patterns.\nWhat You'll Bring\nRequired Qualifications\n7+ years of experience in data engineering, including cloud-based data platforms, ELT/ETL processes, and production data pipelines.\nStrong experience with platforms such as Snowflake, Databricks, Google BigQuery, Microsoft Fabric, Azure Synapse, or Amazon Redshift.\nAdvanced SQL and Python skills.\nExperience with orchestration and transformation tools such as dbt, Apache Airflow, Azure Data Factory, Dagster, Prefect, or similar technologies.\nExperience designing data models and customer-centric data solutions.\nUnderstanding of data quality, lineage, observability, and governance best practices.\nExperience with Git, CI/CD, and modern engineering workflows.\n2+ years leading, mentoring, or managing data engineering teams.\nStrong communication skills and the ability to collaborate with technical and non-technical audiences.\nPreferred Qualifications\nExperience with any combination of the following is welcomed:\nSnowflake, Databricks, dbt, Adobe Real-Time CDP, Salesforce Data Cloud, or related certifications.\nAdobe Experience Platform (AEP), Real-Time CDP, Customer Journey Analytics, Salesforce Data Cloud, Braze, or other customer data platforms.\nAWS, Google Cloud Platform, Microsoft Azure, or Infrastructure as Code technologies such as Terraform.\nAI/ML technologies, warehouse-native AI capabilities, feature engineering, vector databases, or LLM-ready data architectures.\nData privacy, governance, consent management, and secure data exchange practices.\nPre-sales, solution design, technical estimation, or consulting experience.\nWhy You'll Love This Opportunity\nMake an Impact Beyond the Code\nYour work will influence how organizations use data to better understand and engage their customers. The decisions you help make will drive business outcomes across analytics, customer data platforms, AI solutions, and customer experience technologies.\nGrow as a Leader\nYou'll have the opportunity to mentor engineers, shape engineering culture, build delivery standards, and contribute to the long-term growth of both the team and the broader practice.\nWork with Modern Technology\nFrom cloud data warehouses and customer data platforms to AI-assisted engineering and emerging data technologies, you'll have exposure to innovative tools and platforms that are shaping the future of the industry.\nWe Encourage You to Apply\nWe recognize that talent comes from many different backgrounds and experiences. If you're excited about leading teams, building modern data solutions, and helping organizations unlock the value of their data, we encourage you to apply, even if your experience doesn't align perfectly with every qualification listed.\nYour unique perspective, experience, and ideas can help us build stronger teams, better solutions, and more meaningful outcomes for our clients.\nThe annual salary range for this position is $94,000 - $135K. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.\nBenefits available with this position include:\nMedical, vision, and dental insurance,\nLife insurance,\nShort-term and long-term disability insurance,\n401k,\nFlexible paid time off,\nAt least 15 paid holidays per year,\nPaid sick and safe leave, and\nPaid parental leave.\nDentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.\nTo begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.\nLocation:\nChicago - N. StateBrand:\nMerkleTime Type:\nFull timeContract Type:\nPermanentDentsuis committed to providingequal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex ,sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.\nDentsuis committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to  by clicking on the link to let us knowthe nature of your accommodation request and your contact information. 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