Data Engineering Manager will lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This role is key to end-to-end solution delivery, stakeholder management, collaborate with other engineering teams, participate in architecture design discussions, will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, business acumen, and a highly developed drive to deliver results.

• Provide leadership in building data models/architecture, query optimization and automation, ELT and data governance frameworks with scalability, efficiency and reliability
• Develop strong partnerships with Data Analytics, MDM, Data Science, Product, Engineering and other data teams and understand their data needs
• Seasoned hands-on leader can coach and grow data engineers across a variety of demands to deliver efficiently
• Apply wide range of Data Engineering/Technological skills for developing, maintaining and modernizing our data platform suites/eco-system in real-time processing
• Implement large-scale data ecosystems including data management, governance, the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Improve our Data Engineering stack through containerization, data modeling, data quality, data pipeline automation and data integration
• Responsible for driving coding, design, showcase best practices while leading by example.
• Keep informed of the latest technology trends and innovations especially in the areas of customer data platforms, master data management, marketing resource management, digital asset management, web content management, mobile, and social media
• Full lifecycle implementation experience using various SDLC methodologies
• Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress

• Bachelor's Degree with 8 years experience; Master's Degree with 7 years experience; PhD with 3 years experience.
• Must have 8+ or more years of hands on experience in designing, building and maintaining data pipelines
• 7+ or more years of experience with scalable cloud based data warehouses such as Snowflake, AWS Athena, Redshift
• Experience with data catalog, ingestion, streaming, pipeline, orchestration tools such as informatica, Fivetran, Airflow and Alation.
• Experience Salesforce Cloud eco-system Service, Marketing, Commerce.
• Industry experience in master data, metadata, data architecture, data governance, data quality and data modeling
• Coding proficiency in at least one or more modern programming language Python, PySpark, Java, Node.JS, React JS, Restful APIs
• Familiarity with Kubernetes, Docker, Kafka and with different modeling techniques such as data vault.
• Experience in data quality tools, including data profiling, cleansing and identity resolution
• Experience leading workstreams or small teams
• Strong oral and written communication skills, including presentation skills
• Plus to have Experience with Life Sciences Pharmaceutical Commercial and Sales Operations group, including insights around Sales.