What You Will Do:
Develop and implement secure, scalable data solutions using AWS and Databricks, ensuring flawless integration across enterprise data layers. Establish data governance and security standard methodologies, lead adoption of cloud-based architectures, and collaborate with teams to drive innovation in data integration and self-service analytics.
How You Will Get Here:
- BS/MS in Computer Science, Information Systems, or equivalent experience.
- 9 or more years of industry experience in data architecture, data engineering, or cloud-based data solutions.
- 4 or more years of demonstrated ability in solutions, including AWS S3, Redshift, Glue, Lambda, EMR, Kinesis, Athena, PySpark, Python, and SQL for data processing, ETL/ELT data transformation
- Good experience in Databricks, building scalable data pipelines, optimizing Delta Lake storage, and implementing security controls.
- Expertise in AWS services, cloud security standard processes, IAM roles and policies, encryption strategies, and compliance frameworks (e.g., GDPR, HIPAA).
- Experience in working on initiatives related to AI and Data
- Good knowledge of data governance frameworks, including AWS Lake Formation, Unity Catalog, and data lineage tracking.
- Proficiency in CI/CD practices for data solutions using Github, GHA and Terraform.
- Experience implementing real-time and batch data processing solutions using Kafka, Kinesis, or Spark Streaming.
- Strong problem-solving skills with experience in debugging, performance tuning, and cost optimization in cloud environments.
Non-Technical Qualifications:
- Strong leadership skills with the ability to influence technical decisions and guide teams toward scalable data solutions.
- Outstanding interpersonal skills to translate sophisticated technical concepts into business-aligned solutions.
- Proven ability to work cross-functionally with collaborators across IT, business, and security teams.
- Experience in writing technical documentation, architecture diagrams, and standard methodology guides.
- Passion for continuous learning, innovation, and staying ahead of evolving cloud and data technologies.
