Build distributed, fault-tolerant data platforms using cloud environments (Azure, GCP, Databricks, Snowflake, MS Fabric)
Develop, test, deploy and schedule complex solutions to integrate multiple data asset across the organization
Build infrastructure and tooling to support data platform hosting, DataOps and Data Telemetry
Collaborate with cross-functional teams to align technical solutions with business goals
Contribute to the strategic direction of the platform team, including roadmap planning and goal setting
Comply with standards and guidelines related to the design, construction, testing and deployment activities as established by departmental and organizational standards
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor’s degree in CS, AI, or related field
7+ years of professional software engineering experience, with hands-on coding in Python, Java, or similar languages with a focus on building scalable, maintainable data systems
3+ years of experience building data pipelines using Spark, SQL , Azure Data factory, Databricks, Snowflake
3+ years of experience designing and building enterprise data solutions with hands-on experience with Infrastructure as Code tools like Terraform or CloudFormation
2+ years of designing, building Agentic AI/ML solutions
2+ years of implementing DataOps & Data Governance practices
Experience working with Microsoft Fabric and associated data services