Data Engineer Senior Manager



Data Engineer Senior Manager Princeton, New Jersey

Title: Data Engineer Senior Manager

Job Type: Permanent

Primary Location: Princeton, New Jersey

The Challenge:

In this role, you will partner with business analytics, data science and platform engineering teams to design, build and maintain data pipelines & structures to facilitate reporting, predictive alerts and AI / ML solutions from conceptual / experimental stage to production deployment. Collaborating across disciplines, you will design and implement table structures, data products, ETL strategy, automation frameworks and scalable data pipelines.

Role & Responsibilities:

• Design and develop cutting-edge solutions, using existing and emerging technology platforms used to deliver and optimize data enterprise services.

• Partner with business and technical stakeholders to understand data and solution requirements.

• Engage with cross functional business & data science stakeholders on agile prototyping to demonstrate the art of the possible and find creative solutions for complex data use cases.

• Act as the technical expert on data / ETL related solutions, tools and technologies. Develop DQ checks, UAT data test plans and participate in QA.

• Engage vendor resources on various development projects and provide solution oversight to ensure best practices are followed.

• Lead data model designs & use a variety of ETL / ELT strategies and tooling including Big Data cloud technologies for building and operationalizing data structures and pipelines.

• Provide both leadership and a hands-on approach to meet the growing demands from company expansion.

• Manage & maintain stakeholder relationships in a cross functional environment to collaborate on operational issues, support & projects.

• Ensure adherence to QA, GDPR, Data Privacy and other compliance obligations.

• Maintain up-to-date knowledge of ETL/ ELT / orchestration & data wrangling tools, technologies & industry trends that may be of interest and beneficial.

• Participate and provide inputs on D&A strategy related to capabilities & services, team planning & budgets.

Essential Skills & Requirements:

• A Bachelor’s degree in Science, Engineering, Information Systems or equivalent.

• 6 – 8 years of experience of design & building data engineering pipelines, ETL development, data modeling and modern data warehouse implementation.

• 3 – 5 years hands-on experience in AWS stack S3, Spark, Hive and scripting languages like Python, R, Jupyter Notebooks etc.

• Expert knowledge of data architectures like data lakes, DW, data marts and ETL processing.

• Minimum of 2 – 3 years of hands-on experience in Commercial Pharma data.

• 5+ years of experience in ETL / ELT tools like Informatica, Matillion etc.

• 2 – 3 years of working experience in data science platforms like DataBricks.

• Knowledge and experience in data engineering tools like Alteryx, Trifacta etc.

• Good understanding of dimensional data models & other techniques within depth experience in data analysis & query optimization via SQL and other tools.

• Good understanding & experience in Cloud Marketplace & data cloud platforms like Snowflake, Redshift etc.

• Ability to effectively communicate with various levels of employees ranging from entry level to senior leadership.

• Good knowledge & understanding of agile management, DevOps & ITIL frameworks.

• Experience in leading cross functional teams on various projects and processes.

• Experience in providing oversight to staff aug & managed services vendor teams whilst being hands-on technical leader.

• Excellent interpersonal communication skills, strong personal integrity, teamwork abilities, and a customer focus.

• A desire for continuous learning with a coaching mindset.


Tagged as: Data Engineer Senior Manager