Description

Key Responsibilities

Build automated and manual data ingestion pipelines into Snowflake.

Develop data transformations, mappings, reusable components, and UDFs.

Design and implement scalable data models and warehouse/lakehouse solutions.

Optimize Snowflake workloads and pipelines for performance, reliability, and cost.

Support platform architecture, connectivity, configuration, and workload design.

Deliver data solutions through Agile, iterative development cycles.

Support UAT, production readiness, deployment, rollback, recovery, and business continuity.

Establish reusable platform capabilities to accelerate future data initiatives.

Collaborate with business and technical teams to deliver high-quality data solutions.

Independently lead technical initiatives and provide guidance to team members.

Required Qualifications

10+ years of overall IT experience with strong data engineering expertise.

Extensive hands-on experience with Snowflake, including:

Data modeling

Performance optimization

Access controls

Data warehousing and lakehouse patterns

Automated and manual data pipelines

Strong understanding of transactional data systems such as ERP or Trading platforms.

Working knowledge of AWS data services, including S3, Glue, Lambda, Athena, EMR, and Redshift.

Experience designing scalable cloud-based data architectures.

Strong problem-solving, communication, and collaboration skills.

Demonstrated ability to lead a team independently.

Preferred Qualifications

Experience building enterprise-scale data platforms.

Experience with Agile delivery and CI/CD practices.

Experience supporting data quality, governance, security, and operational standards.

Experience within financial, energy, trading, or other data-intensive environments.

Strong leadership and stakeholder management experience

Key Skills

Education

Bachelor's degree