Director, Data Engineering – RWD

This is a fully remote position, open to applicants in India.

📋 Description

• Contribute to the strategy, design, and roadmap for Parexel's lakehouse architecture based on medallion principles.

• Direct engineering activities encompassing data ingestion, transformation, storage, and optimization within the Enterprise Data Lake.

• Oversee the performance, quality, reliability, security, and lifecycle management of data.

• Ensure the scalability of engineering pipelines across data domains in alignment with governance requirements.

• Act as a subject matter expert in data delivery.

• Align data products and services with the priorities of the organization.

• Lead cross-functional prioritization and delivery processes.

• Advocate for transparency and communication regarding data technology roadmaps.

• Build, mentor, and manage global data engineering teams.

• Promote capability development in cloud engineering, Databricks, CI/CD, SQL, and Python.

• Foster innovation, operational rigor, and customer-focused delivery.

⛳️ Requirements

• Over 12 years of IT experience in developing, implementing, and maintaining large-scale enterprise integration services and platforms across various hardware and software environments.

• Significant expertise in emerging computing architectures.

• Familiarity with Real World Data in the clinical/medical domain.

• Experience with GxP regulations in a life sciences context is advantageous.

• More than 8 years of experience leading teams in data delivery management and execution, including major projects in data management, integration, and analytics.

• At least 6 years of management experience.

• Experience in developing and implementing applications in new computing architecture environments using innovative technologies.

• Proven ability to manage technical personnel across multiple project lifecycle phases with cross-functional experience.

• Experience in managing financial resources across various projects.

• Proven capability in developing effective solutions to complex business challenges.

• Extensive experience in implementing and supporting enterprise data initiatives on cloud platforms.

• Demonstrated expertise in data and cloud platforms, particularly Azure Databricks.

• Considerable experience with medallion architecture-based data lake implementations.

• Advanced proficiency in SQL querying and query tuning (mandatory).

• Proficiency in modern data management and data-sharing tools, programming languages, particularly Python, relational databases, data transformation, and development frameworks.

• In-depth knowledge of architectural best practices, application design, and estimation processes.

• Comprehensive understanding of application architectures and enterprise application ecosystems.

• A Bachelor's degree in computer science, Information Systems, or a related field (required).

🏝️ Benefits

• No benefits or compensation extras are specified in the posting.