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Technical Engineer Senior

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Aquent

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Location:
United States , Hartford

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Category:
IT - Administration

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Contract Type:
Employment contract

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Salary:

43.46 - 48.29 USD / Hour
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Job Description:

Are you a visionary architect and administrator with a passion for transforming data ecosystems? We are seeking a senior individual contributor to become the technical authority for our client's enterprise data platform. In this pivotal role, you will not just maintain; you will design, implement, and continuously optimize critical data infrastructure, directly impacting how insights are generated and utilized across the organization. This is an exciting opportunity to drive innovation, enhance efficiency, and ensure the scalability and reliability of a multi-platform data environment, working closely with data engineering, analytics, and infrastructure teams to build robust, high-performing solutions.

Job Responsibility:

  • Platform Architecture & Governance: Architect and govern the enterprise platform environment, including workspace topology, data catalog structure, and access control frameworks
  • Data Pipeline Design: Design scalable, performant data pipeline patterns utilizing modern data processing tools and structured streaming
  • Infrastructure & Operations: Administer and troubleshoot underlying compute environments supporting the platform, including init scripts and cluster lifecycle management
  • Cost Management & Optimization: Own consumption tracking and reporting, proactively identifying optimization opportunities across jobs, interactive clusters, and data warehouses
  • Security & Compliance: Design and implement data governance frameworks within the data catalog, including lineage, tagging, and access auditing
  • Automation & AI Integration: Design and implement end-to-end automation frameworks for platform operations, including cluster lifecycle management, job scheduling, alerting, and self-healing workflows
  • Strategic Evaluation & Support: Serve as the primary technical escalation point for platform issues, contribute to sprint planning, and manage change requests and incidents

Requirements:

  • 7+ years of experience in data engineering or data platform roles
  • minimum of 4 years of hands-on implementation experience with enterprise data platforms
  • Demonstrated expertise with platform capabilities including data catalogs, data lake technologies, workflow orchestration, and SQL warehouses
  • Strong Unix/Linux proficiency, including shell scripting, process management, file system operations, cron scheduling, and environment configuration
  • Proficiency in Python and PySpark for distributed data processing, pipeline development, and platform automation
  • Experience with leading cloud infrastructure providers (AWS, Azure, or GCP), including compute, storage, networking, and identity/access management
  • Demonstrated ability to design for scale, cost efficiency, and operational reliability in an enterprise data environment
  • Demonstrated experience designing automation frameworks for data platform operations, including job orchestration, monitoring, alerting, and pipeline self-healing
  • Familiarity with AI/ML concepts and tooling within enterprise data ecosystems, including experiment tracking, automated machine learning, and model serving
  • Experience with relational database environments, including SQL development, schema design, and integration patterns for data extraction and pipeline sourcing
  • Proficiency in Git-based version control, including branching strategies, pull request workflows, repository management, and CI/CD pipeline integration for data platform code
  • Experience working within ITSM and project delivery frameworks such as ServiceNow and Jira
  • Strong written and verbal communication skills, with the ability to convey complex architectural concepts to both technical and non-technical audiences

Nice to have:

  • Hands-on experience with MLflow experiment tracking, model registry, and deployment patterns within enterprise data platforms
  • Exposure to generative AI frameworks (e.g., LangChain, LlamaIndex) or experience building LLM-integrated data pipelines and retrieval-augmented generation (RAG) workflows
  • Experience with workflow automation tools such as Apache Airflow or comparable orchestration platforms at enterprise scale
  • Experience integrating enterprise data platforms with leading ETL/ELT platforms, including Fivetran or Ab Initio
  • hands-on Ab Initio development or administration experience is a strong plus
  • Familiarity with enterprise data governance frameworks and catalog tools (e.g., Collibra, Alation, or advanced data catalog features)
  • Experience supporting enterprise data platforms in regulated industries (e.g., financial services, insurance) with associated audit and compliance requirements
  • Working knowledge of Infrastructure-as-Code tooling (e.g., Terraform, Ansible) for platform provisioning and configuration management
  • Background in disaster recovery design and resiliency planning for cloud-hosted data platforms
What we offer:
  • subsidized health, vision, and dental plans
  • paid sick leave
  • retirement plans with a match
  • free online training through Aquent Gymnasium

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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