Lead strategic planning and execution of large-scale data programs, managing technical delivery and stakeholder expectations.
Responsibilities
- Develop and execute strategic visions for data programs aligned with organizational goals.
- Oversee project planning, implementation, and execution to ensure delivery on time and within budget.
- Establish and maintain data governance policies to ensure quality, integrity, and security.
- Lead and mentor teams of data professionals to achieve high-quality results.
- Collaborate with business leaders, IT teams, and data scientists to define and meet requirements.
Required Skills
- 12 to 15 years of experience in Data Management, Big Data, and Analytics.
- 4 to 5 years architecting and implementing cloud-native data solutions.
- 4 to 5 years of big data processing using Spark and Java.
- Extensive hands-on experience designing and tuning ETL/ELT processes with cloud-native technologies.
- Experience with data process orchestration and building Near-Real Time and Batch Data Pipelines.
- Experience with ARM templates for Infrastructure as Code (IaC) and Azure DevOps CI/CD pipelines.
- Proficiency in implementing data security, encryption, PII/PSI legislation, and Identity and Access Management.
- In-depth understanding of Azure and AWS storage services.
- At least one year of experience with MS Purview for unified data governance.
- Mandatory Azure Data Engineering and Azure Solution Architecture certifications.
Preferred Skills
- Experience with Apache Spark using Scala, PySpark, or Databricks.
- Multi-cloud certifications.