**Company description** Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 62 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. **Overview** **Director, Data Engineering, Healthcare** Publicis Sapient is looking for a Director, Data Engineering to lead top-notch technologists to enable real business outcomes for our enterprise healthcare clients. You will create impact for some of the world’s biggest brands, by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the healthcare industry, you will be instrumental in helping our clients evolve for a more digital future. **Your Daily Duties & Impact:** + Act as a trusted advisor to healthcare clients by leveraging data for customer acquisition and engagement as part of large digital transformation journeys + Work closely with our client's providing evaluation and recommendations of design patterns and solutions for data platforms, with a focus on ETL, ELT, ALT, lambda, and kappa architectures + Define SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers to deliver data-driven interactive experiences to our clients + Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for cloud, on-prem, hybrid, and edge-based data platforms + Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements + Creation and maintenance of infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager + Mentor, support, and manage team members **Qualifications** **Your Skills & Experience:** + Exceptional data engineering skills with distributed computing background and proven experience in delivering large scale data platforms + Data processing programming using SQL, DBT, Python, and similar tools + Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala + Data ingest, validation, and enrichment pipeline design and implementation + Cloud-native data platform design with a focus on streaming and event-driven architectures + Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes + Hands-on technologist with deep expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Reporting Tools, AI/ML Platforms) + Hands-on experience across leading public cloud data platforms (Amazon Web Services, Azure, Google Cloud, Snowflake) + Expertise in data governance within the healthcare industry (HIPPA, FHIR,) for big data space with knowledge of various MDM/entity resolution solutions + Ability to lead teams that rapidly learn the client’s current digital ecosystem and produce a future data landscape vision and strategy considering the transformation agenda and business goals + Have a point of view and understanding of build vs. buy, performance considerations, hosting, commercial models, business intelligence, reporting, and analytics + Excellent client communication and facilitating skills, ability to influence others and gain consensus, and team collaboration + Combination of proficient consulting, business, strategy, technical and people skills + Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks + Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog, and similar + SDLC optimization across workstreams within a solution + Code review and mentorship experience + Interacting with clients, vendors, and Publicis Groupe peers with a focus on strategic optimizations, quality control, and adherence to the Digital Business Transformation vision + Interviewing and assessing prospective team members, new hires, vendors, and other contributors across a project community + Proposal creation, including staffing plans, timelines, and inputs to budget discovery + Presentations to teams, clients, and the wider engineering community both within and outside of Publicis Groupe **Additional information** The compensation range: $168,000-$252,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work. **Benefits of Working Here:** + Flexible vacation policy; time is not limited, allocated, or accrued + 16 paid holidays throughout the year + Generous parental leave and new parent transition program + Tuition reimbursement + Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.