Lead Data Engineer

Responsibilities:

• Directly lead and manage teams focused on delivering high quality project results within one or more major technology disciplines: strategy, data management, cloud optimization, operations, engineering, information security, privacy, compliance, change management and stakeholder relationships.
• Focus on team leadership, delivery of business value, risk mitigation, cost optimization and return on investment.
• Deliver results based upon strategic goals, department goals and management requests.
• Direct and coordinate organization's financial and budget activities to fund operations, maximize investments, and increase efficiency for project.
• Ensure technology best practices are being implemented and improved for all functions and projects.
• Analyze information and evaluate results to choose the best solutions and solve problems.
• Evaluate new technologies, techniques, and tools.
• Report status and issues to leadership.
• Work directly with outside vendors to manage delivery of features and functions
• Willingness to lead, take responsibility and offer options.
• Serve as a backup to more senior level management as needed.
• Develop constructive and cooperative working relationships with peers both within and outside of Technology, and maintain them over time.
• Drive adherence to enterprise technology policies and comply with all security controls.
• Ensure all work products meets/exceeds enterprise standards and risks are effectively managed.
• Establish plans for Disaster Recovery (DR) and Business Continuity. Technology Skills:
• 5 years’ experience with AWS cloud platform.
• 3 years’ experience in heavily regulated environments such as healthcare, pharmaceutical, or medical device development using GxP and Systems Validation
• 3 years’ experience with DataBricks, RedShift, S3.
• Knowledge of and experience with python, SQL, Scala, R.
• Experience with cloud infrastructure (compute, memory, storage, networking, WAN).
• Experience managing the full scope of an enterprise (architecture, design, implementation, support).
• 7 years of experience in data management, ETL, ELT, noSQL.
• Knowledge of database design, development, API development, data warehousing, and data management techniques.
• Experience with Kong API management.
• Firsthand experience in setting up enterprise monitoring and management tools.
• Experience designing and deploying database reporting and monitoring tools.
• Experience in large-scale (multi-terabyte), scalable, highly available and reliable database architectures.
• Experience in data security, capacity planning and failover procedures.
• Extensive understanding of Cybersecurity techniques to lower enterprise risk.
• Experience with SIEM tools implementations using Splunk, ELK, or similar tools.

Position Requirements:

• Bachelor’s degree in Computer Science, Information Systems or related discipline with at least seven years of related experience, or equivalent training.
• Excellent written and verbal technical communication skills.
• Must be a self-starter with strong leadership qualities.
• Work well with aggressive deadlines and minimal supervision.
• Excellent organizational skills, good oral and written communication skills, be effective at communicating complex structures in a simple fashion and interacts positively with others.
• Knowledge of business, technology and management principles involved in strategic planning, organizational change management, resource allocation, human resources practices, leadership technique, and coordination of people and resources.
• Experience with strategy, software development, operations, engineering, development services, information security, and compliance.
• Extensive knowledge of industry leading technology best practices including familiarity with technology methodologies such as ITIL, Agile, DevOps.
• Must be able to identify, evaluate and recommend processes, tools, technologies and/or products to meet business and budgetary requirements.
• Well organized, thorough, and able to handle competing priorities.
• Ability to maintain focus and develop proficiency in new skills rapidly.