3 дня назад
Data Engineering Lead (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Lead (AI): Designing and delivering enterprise data platforms, pipelines, and analytics capabilities with an accent on cloud-native architectures, data governance, and operational excellence. Focus on leading data modernization, building high-volume batch and streaming pipelines, enabling AI and machine learning workloads, and developing engineering teams.
Location: Charleston, South Carolina, United States
Company
provides technology services and enterprise solutions that help organizations modernize mission-critical systems, optimize operations, and accelerate innovation through AI, cloud, security, and enterprise technologies. The role supports the Insurance Software and Business Process Solutions organization.
What you will do
- Define the enterprise data engineering strategy, roadmap, standards, and modernization initiatives.
- Design and implement scalable data platforms supporting operational, analytical, AI, and machine learning workloads.
- Develop high-volume batch, streaming, and event-driven pipelines, as well as data lakes, warehouses, lakehouses, and data products.
- Lead and mentor Data Engineers, Data Architects, and Data Integration specialists while providing architecture reviews and technical guidance.
- Implement data governance, quality, observability, monitoring, compliance, privacy, retention, and security practices.
- Manage multiple concurrent initiatives, delivery plans, risks, dependencies, technical debt, and stakeholder communications.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
- 10+ years of experience in Data Engineering, Data Architecture, or related technology disciplines.
- At least 3 years of experience leading technical teams or enterprise-scale data initiatives.
- Strong experience with SQL, advanced databases, Python, Spark, Scala, ETL/ELT, and data platform architectures.
- Experience with Azure, AWS, or Google Cloud and technologies such as Databricks, Snowflake, Synapse, Redshift, or BigQuery.
- Experience with real-time processing, API integration, event-driven architectures, CI/CD, DataOps, Infrastructure-as-Code, and automation.
Nice to have
- Insurance industry experience.
- Experience supporting AI, machine learning, and generative AI initiatives.
- Experience implementing data governance programs or leading large-scale cloud migration and data modernization programs.
- Experience with observability, operational monitoring, and reliability engineering.
Culture & Benefits
- Work model prioritizing in-person collaboration while offering flexibility for different work styles and personal circumstances.
- Inclusive environment focused on strong connections, community, wellbeing, productivity, and continuous learning.
- Equal opportunity employment practices and disability accommodation support.
- Participation in the United States E-Verify program.
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