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Data Architect

Job in York, York County, Pennsylvania, 17404, USA
Listing for: Lumicity
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Experience:

10+ Years

Type:
On-going Contract

We are partnering with a high-growth enterprise organization seeking a Senior Data Architect / Engineer to help design, build, and scale a modern cloud data platform.

This role is ideal for someone who can operate at both the architectural and hands-on engineering level — someone who not only builds production-grade pipelines but also mentors and elevates other engineers.

What You’ll Do
  • Architect and build scalable data platforms in AWS, leveraging services such as S3, EMR, Glue, Lambda, Kinesis/MSK, Redshift, Step Functions, and related components
  • Design and optimize Snowflake data warehouse environments, including ELT workflows, performance tuning, clustering strategies, RBAC/security models, and cost optimization
  • Develop and maintain batch and real-time data pipelines using Spark, Python, SQL, and streaming technologies
  • Lead design decisions around data modeling (dimensional, normalized, lakehouse patterns) and governance
  • Establish best practices around data quality, observability, CI/CD, and environment promotion
  • Mentor junior and mid-level engineers through code reviews, architectural guidance, and technical leadership
  • Collaborate with analytics, data science, and business stakeholders to translate requirements into scalable solutions
  • Contribute to long-term platform strategy and modernization initiatives
What We’re Looking For
  • 10+ years of experience in data engineering and platform design
  • Deep hands-on experience in AWS-based data architectures
  • Strong expertise in Snowflake (schema design, clustering, performance optimization, warehouse management, security)
  • Advanced proficiency in Python, SQL, and Spark (PySpark or Scala)
  • Experience building both batch and streaming data pipelines
  • Strong understanding of data governance, RBAC, encryption, and cloud security best practices
  • Experience implementing CI/CD and Infrastructure as Code (Terraform or similar)
  • Demonstrated ability to mentor engineers and influence technical direction
  • Strong communication skills and ability to work cross-functionally
Nice to Have
  • Experience with real-time streaming frameworks (Kafka/MSK, Kinesis)
  • Exposure to knowledge graphs or semantic modeling
  • Experience in highly regulated or enterprise-scale environments
  • Familiarity with orchestration tools (Airflow/MWAA, Matillion, dbt, etc.)
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