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2 дня назад

Data Architect (Hadoop/ML/AI/ETL)

91 000 - 202 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Architect (Hadoop/ML/AI/ETL): Designing enterprise data movement controls, reconciliation pipelines, catalogs, query federation, and lineage across on-premises warehouses, Hadoop, and Lakehouse environments with an accent on governance, auditability, security, and high-throughput data architecture. Focus on integrating Control-M and Apache Airflow, architecting Apache Polaris and Trino platforms, modernizing Hadoop workloads, and applying AI concepts to pipeline observability and data quality.

Location: In-office in Pittsburgh, PA; Strongsville, OH; or Dallas, TX

Salary: $91,000–$202,800 per year, plus incentive eligibility

Company

hirify.global is a large financial services organization focused on customer solutions, enterprise risk management, and technology-enabled banking services.

What you will do

  • Design enterprise-wide data movement controls, reconciliation frameworks, checksum validation, threshold alerting, and schema evolution tracking.
  • Define orchestration standards connecting Control-M batch workflows with Apache Airflow DAGs.
  • Architect Apache Polaris REST catalog governance for Apache Iceberg, including RBAC and credential scoping.
  • Implement and tune Trino across private infrastructure to federate queries across relational databases, Hadoop, and Iceberg.
  • Architect graph database integrations for entity relationships, lineage, and semantic ontologies.
  • Drive architecture roadmaps, design approvals, proof-of-concepts, compliance, and technology standards across multiple teams.

Requirements

  • 5+ years of relevant industry experience and a bachelor's degree or comparable combination of education and experience.
  • Experience with enterprise data architecture, data management, data warehousing, ETL/ELT, data modeling, APIs, and distributed computing.
  • Strong architectural knowledge of on-premises Hadoop ecosystems, including HDFS, YARN, Hive, Spark, and Kerberos.
  • Experience designing high-volume, low-latency data services and enterprise control, reconciliation, audit, governance, and lineage frameworks.
  • Knowledge of SQL, machine learning, risk assessment, enterprise architecture, and logical data modeling.
  • Must work in an in-office setting in Pittsburgh, Strongsville, or Dallas; hirify.global does not provide employment visa sponsorship or participate in STEM OPT.

Nice to have

  • Conceptual understanding of Agentic AI for pipeline observability, metadata tagging, self-healing quality checks, and schema drift mitigation.
  • Experience with advanced analytics, visualization, and modernization of legacy Hadoop workloads.

Culture & Benefits

  • Inclusive, supportive, and customer-focused in-office workplace.
  • Medical, dental, vision, life, disability, HSA, and dependent-care benefits.
  • 401(k) matching, pension, stock purchase plans, and educational assistance.
  • Paid holidays, parental leave, occasional absence days, and 15–25 vacation days depending on career level.
  • Wellness programs with financial incentives and additional family-care benefits.

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