Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь можно отвечать за развитие промышленной платформы данных, работать с современными инструментами AWS и пользоваться программой наставничества. При этом в роли сочетаются архитектура, разработка, управление доступом и эксплуатация.
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Широкая зона ответственностиАктуальный стекПоддержка развитияРабота из офиса
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Architect Advisor (AWS/Data): Designing, building, and evolving an Enterprise Data Lake and supporting data platforms with an accent on AWS data engineering, reusable ingestion patterns, governed data access, and platform security. Focus on automating data delivery, implementing entitlement frameworks and audit controls, applying infrastructure as code and CI/CD, and leading architecture decisions in an agile environment.
Location: Hybrid, based out of the Kansas City, Missouri office; employees are required to be in the office on a scheduled frequency.
Company
hirify.global is a privately owned global asset manager focused solely on investment management across equities, fixed income, multi-asset strategies, ETFs, and private investments.
What you will do
Design, build, maintain, and evolve the Enterprise Data Lake and supporting platforms across ingestion, storage, processing, integration, and governed data consumption.
Translate business and technical requirements into scalable data architectures and solution designs aligned with enterprise architecture, security, and development standards.
Develop reusable ingestion patterns and automate onboarding, testing, deployment, and data delivery to improve scalability, reliability, and maintainability.
Design governed data consumption patterns and entitlement frameworks, including access controls, entitlement reviews, audit evidence, and remediation of platform control gaps.
Apply AWS DevOps practices including infrastructure as code, CI/CD, monitoring, troubleshooting, and operational improvements.
Evaluate emerging data technologies, provide technical leadership in an agile environment, guide architecture decisions, and mentor junior developers.
Requirements
Bachelor’s degree in Computer Science, Management Information Systems, or a related field, or equivalent relevant work experience.
Ability to translate business requirements into data solution and application architectures, communicate design decisions and trade-offs, and collaborate with IT and business stakeholders.
Strong hands-on experience designing, deploying, and supporting production data solutions in AWS, including serverless processing, orchestration, infrastructure as code, monitoring, and information security.
Hands-on AWS DevOps experience with Git, CI/CD pipelines, build and artifact/package management, automated testing and deployment, and infrastructure as code using AWS CloudFormation or Terraform.
Understanding of governed data access, IAM, role-based entitlements, least-privilege principles, encryption, and audit logging for cloud data platforms.
5+ years of experience with object-oriented or functional programming languages, including hands-on Python development; Java experience is also relevant.
5+ years of experience with AWS data-solution services such as CloudFormation, S3, Lambda, IAM, EMR, and KMS.
7+ years of hands-on engineering experience implementing and supporting data ingestion and transformation pipelines using ETL/ELT and data lake or operational data store patterns.
5+ years of experience using SDLC and Agile, RDBMS technologies such as MySQL, Postgres, and MSSQL, and ESB, messaging, or integration tools such as Kafka or SQS.
Proven experience leading and mentoring in a multifunctional, collaborative environment involving business units, vendors, countries, and cultures.
Demonstrated hirify.global Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, and Competitively Driven.
Must be authorized to work in the U.S. without visa sponsorship, now or in the future.
Nice to have
Experience in data modeling, schema design and development, and dimensional modeling.
AWS Certification and experience with AWS services including EC2, Kinesis, ECS, and ELB.
Experience designing, building, or consuming data APIs; familiarity with event-driven architecture and microservices.
Experience with advanced analytics tools and languages such as R, Python, Java, and SAS.
Test automation design and implementation experience.
Experience with ETL tools such as IDMC, TSQL, SSIS, or Matillion.
1+ years of data visualization experience with Tableau or Power BI.
Experience working with financial product datasets.
Experience supporting audit evidence, access reviews, and control processes in a regulated or audited technology environment.
Culture & Benefits
Competitive compensation package with a bonus plan.
Generous PTO and competitive benefits.
401(k) with a 5% company match plus an annual performance-based discretionary contribution.
Tuition reimbursement, formal mentorship, and live and online learning.
Scheduled office attendance is required for the hybrid arrangement.
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