- Design and implement scalable, modular, and future-proof data architectures that support enterprise data lakes, data warehouses, and real-time analytics.
- Develop enterprise-wide data frameworks that enable governed, secure, and accessible data across various business domains.
- Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms.
- Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems, and external data platforms.
- Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities.
- Establish data interoperability frameworks that enable seamless integration across multiple data sources and platforms.
- Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions.
- Implement DataOps best practices, including CI/CD for data pipelines, automated monitoring, and proactive issue resolution, to improve operational efficiency.
- Lead Scaled Agile (SAFe) practices, facilitating Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies, ensuring iterative delivery of enterprise data capabilities.
- Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals.
- Act as a trusted advisor on emerging data technologies and trends, ensuring that the enterprise adopts cutting-edge data solutions that provide competitive advantage and long-term scalability.
Must-Have Skills:
- Experience in data architecture, enterprise data management, and cloud-based analytics solutions.
- Expertise in Databricks, cloud-native data platforms, and distributed computing frameworks.
- Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization.
- Experience designing high-performance ETL/ELT pipelines and real-time data processing solutions.
- Deep understanding of data governance, security, metadata management, and access control frameworks.
- Hands-on experience with CI/CD for data solutions, DataOps automation, and infrastructure as code (IaaC).
- Proven ability to collaborate with cross-functional teams, including business executives, data engineers, and analytics teams, to drive successful data initiatives.
- Strong problem-solving, strategic thinking, and technical leadership skills.
- Experienced with SQL/NOSQL database, vector database for large language models
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases
- Experienced with Apache Spark
- Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Good-to-Have Skills:
- Good to have deep expertise in Biotech & Pharma industries
- Experience with Data Mesh architectures and federated data governance models.
- Certification in cloud data platforms or enterprise architecture frameworks.
- Knowledge of AI/ML pipeline integration within enterprise data architectures.
- Familiarity with BI & analytics platforms for enabling self-service analytics and enterprise reporting.
Education and Professional Certifications
- Doctorate Degree with 6-8 + years of experience in Computer Science, IT or related field
- Master's degree with 8-10 + years of experience in Computer Science, IT or related field
- Bachelor's degree with 10-12 + years of experience in Computer Science, IT or related field
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
Soft Skills:
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Ability to learn quickly, be organized and detail oriented.
- Strong presentation and public speaking skills.
