Lead Consultant - Data Engineering

Job Description

Collaborate closely with product managers, architects, and delivery managers to provide technical knowledge and support. Lead the technical vision of the product and work with multi-functional teams to define designs that meet objectives. Compile detailed technical designs, refine user stories, and ensure consistency to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of Service Introduction deliverables. Ensure alignment with regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions adhere to FAIR principles for enhanced data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Good understanding of DevOps and DataOps ways of working Shown expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Supervise the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Lead the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Desirable Skills/Experience Bachelors or masters degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios. Possess solid understanding of basic prompting techniques and continuously improve these skills. Stay up-to-date with developments in AI and GenAI, applying new insights to work-related situations