Data Platform Engineering Director
1 month ago
We are seeking an experienced Data Platform Engineering Director to lead our cloud data platform engineering team. The ideal candidate will have a strong background in designing and implementing scalable and highly performant enterprise cloud products.
Key Responsibilities:- Lead the design and architecture of our data platform infrastructure, collaborating with cross-functional teams to define requirements, select technologies, and develop scalable and resilient architecture.
- Oversee the implementation and deployment of data platform solutions, including data storage, data processing, and integration components, ensuring adherence to best practices, standards, and security protocols.
- Establish monitoring and alerting mechanisms to proactively monitor the health, performance, and availability of data platforms, identifying and addressing issues and optimizing resource utilization.
- Manage data platform access, including cloud storage, databases, data warehouses, data lakes, and other cloud services.
- Maintain comprehensive documentation of data platform, access management processes, platform monitoring, platform usage, and post-implementation reviews for stakeholders and management.
- Ensure the security and compliance of data platforms with industry regulations and best practices, implementing access controls, encryption, and data governance policies to protect sensitive data assets.
- Lead efforts to integrate data from disparate sources, systems, and applications into a unified data ecosystem, collaborating with IT, engineering, and business teams to design and implement effective data integration solutions.
- Implement data processing and analytics capabilities, including batch processing, real-time streaming, and data analytics frameworks, to enable advanced data analysis and insights generation.
- Manage relationships with data platform vendors and service providers, evaluating vendor offerings and ensuring the delivery of high-quality services and support.
- Lead and mentor a team of data platform engineers, providing guidance, coaching, and support to foster a culture of collaboration, innovation, and continuous learning.
- Communicate regularly with stakeholders, including IT, business, and executive leadership, to provide updates on data platform initiatives, solicit feedback, and align platform strategies with business goals and priorities.
- Bachelor's degree or Master's degree in computer science, information systems, or related field.
- Proven track record with at least 10+ years of experience in data engineering, dataOps for a large-scale data platform serving multiple business lines and products, including hands-on design and implementation experience.
- 5+ years of experience in a leadership role, managing and scaling engineering teams.
- Extensive experience in designing solutions on High trust/PCI-compliant cloud data platform.
- Deep knowledge and rich experience in data ingestions, including streaming technology and systems.
- Strong experience in data management and analytics tools and technologies, such as SQL, NoSQL databases, MS SQL Server, Distribute PostgreSQL, Citus, SSRS, SSIS, Hadoop, Spark, Databricks, Kafka, and cloud-based data lake platforms.
- Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using cloud services, ETL tools, Snowflake, etc.
- Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehouses.
- Experience in migrating data from existing warehouses or transactional data stores (SQL Server) to cloud data platform.
- Experience in software development with programming languages like Python, C#, or Scala.
- Strong understanding and practical experience with CI/CD pipelines, automated testing, and agile methodologies.
- Experience with data platform automation, orchestration, and containerization tools (e.g., Ansible, Kubernetes, Docker) for managing and deploying platform infrastructure and services.
- Solid understanding of data security principles, practices, and compliance requirements, including GDPR, HIPAA, SOC 2, and PCI-DSS, and experience implementing security controls and measures.
- Experience with AI/ML data models, data modeling, data governance is preferred.
- Excellent leadership and management skills, with the ability to lead and motivate a team, set clear goals and expectations, and drive performance and results.
- Strong analytical and problem-solving skills, with the ability to analyze complex data platform challenges, identify solutions, and implement effective strategies to achieve desired outcomes.
- Excellent communication and interpersonal skills, with the ability to communicate effectively with technical and non-technical stakeholders, build consensus, and influence decision-making.
- Experience working in regulated industries such as pharma, health sciences with knowledge of compliance requirements and standards related to data management and privacy (e.g., HIPAA, GDPR) is preferred.
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