TIAA
TIAA
TIAA ir finanšu pakalpojumu un apdrošināšanas uzņēmums, kas koncentrējas uz pensiju plānošanu, labklājības pārvaldību un ilgtermiņa finansiālo drošību. Tā piedāvājumā ietilpst mūža rentes, individuālie pensiju konti, ieguldījumu pārvaldība un personalizēti finanšu ieteikumi privātpersonām un institucionālajiem klientiem. TIAA tika dibināts 1918. gadā, apvieno pensiju jomas pieredzi ar atbildīgu ieguldīšanu un pārvalda aktīvus 1,2 triljonu ASV dolāru vērtībā, palīdzot klientiem plānot uzticamus mūža ienākumus un pārliecinošāku finansiālo nākotni.

TIAA Associate Director, Full Stack Development

Lead hands-on development of scalable data platforms at TIAA, using Python, Snowflake, and AWS. Guide architecture, pipeline delivery, and engineering teams in financial services.

Apraksts

  • Build and maintain scalable data engineering solutions with Python, Snowflake, and AWS.
  • Create and tune Snowpark stored procedures for complex data transformations.
  • Develop serverless applications with AWS Lambda, S3, and related AWS services.
  • Design and oversee DAG orchestration for end-to-end data pipeline execution.
  • Provide technical leadership and architectural direction while contributing hands-on.
  • Partner with data analysts, business stakeholders, and platform engineering teams.
  • Set and uphold coding standards, engineering practices, and code review processes.
  • Coach junior and mid-level engineers.
  • Diagnose and resolve production issues to maintain service availability and performance.
  • Help plan the technical roadmap and modernize the platform.

Prasības

  • At least 10 years of relevant technology experience.
  • At least 10 years of overall technology experience, including substantial hands-on data engineering.
  • Strong practical Python programming skills.
  • Experience developing production-ready data processing applications.
  • Experience with Snowflake and Snowpark, including stored procedures, SQL, warehouse optimization, and query performance.
  • Hands-on experience with AWS Lambda and Amazon S3.
  • Experience designing, building, and maintaining DAGs with Apache Airflow or a comparable orchestration framework.
  • Proficiency with Git, including branching strategies, pull request workflows, and CI/CD integration.
  • Familiarity with AWS Glue, Step Functions, CloudWatch, IAM, ECS or EKS, or SNS or SQS.
  • Experience with Terraform or CloudFormation.
  • Exposure to Docker and deployment pipelines.
  • Understanding of data governance, security, and compliance in cloud environments.
  • Experience in asset management, investment banking, or financial services is a strong advantage.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Demonstrated success delivering production-grade solutions with Python and Snowflake.
  • Strong problem-solving ability.
  • Excellent communication skills, including presenting technical solutions to technical and non-technical audiences.
  • A university degree is preferred.

Priekšrocības

  • Equal opportunity employer.
  • Accessibility assistance is available to applicants who need help with the online application process.
  • Access to future-focused skills and AI tools.
  • Learning opportunities and development pathways.
  • Collaborative in-office work environment.

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