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Lead Data Architect

AIT Global, Inc.New York, NY🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationNew York, NY, United States
SQLShellSnowflakeHadoopHivePythonGenerative AICI/CD

Job description

Job Title: Lead Data Architect
Location: NYC, NY (Hybrid)
About the Role:
We're looking for a hands-on Lead Data Architect to anchor the US side of a multi-year data platform modernization for a leading global financial services client. The program moves on-premises Hadoop workloads to Snowflake. You'll own the target architecture, work with client stakeholders, guide an India-based delivery team through an AI-assisted migration approach, and help grow the account by identifying new opportunities and shaping solutions for them.
What You'll Do:
  • Define the target Snowflake architecture, including data models, layering, and ingestion and transformation patterns.
  • Lead assessment and design for Hadoop-to-Snowflake migrations, deciding which assets to migrate, re-engineer, archive or retire.
  • Guide conversion of Hive, Spark, Python and shell workloads to Snowflake SQL and Snowpark, using AI-assisted tools with clear review controls.
  • Set the validation approach: reconciliation, data-quality rules, parallel runs, cutover and rollback.
  • Work with client architecture, security and governance teams on access, retention and compliance decisions.
  • Identify new growth opportunities within the account, such as further migration domains, data platform and AI-enabled consumption initiatives, by building relationships with client architects and business stakeholders.
  • Recommend solutions and shape proposals for these opportunities, working with account, sales and delivery leadership on scope, approach, estimates and commercials.
  • Mentor engineers and support estimates, scope and risk management.
What You Bring:
  • 12+ years in data engineering and architecture, with 4+ years of hands-on Snowflake experience.
  • Proven Hadoop (Cloudera, Hive, Spark) to cloud data platform migration delivery.
  • Strong SQL, Python and Spark; working knowledge of Snowpark, orchestration and CI/CD for data pipelines.
  • Experience with data modeling, lineage and reconciliation in a regulated environment.
  • Experience leading distributed teams and presenting to senior client stakeholders.
  • Track record of solutioning and proposal development, including identifying client needs, framing solutions and contributing to winning new work.
Preferred:
financial services background, generative AI tooling for code conversion, SnowPro Advanced Architect certification.

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