Data Migration Lead

Overview

Hybrid
$80 - $90
Contract - W2
Contract - 12 Month(s)

Skills

GCP
Migration

Job Details

  • Core ResponsibilitiesLead end-to-end the project lifecycle for data/SQL migration project, from design to deployment.
  • Coordinate cross-functional teams including data engineers, BI analysts, and developers.
  • Act as primary liaison between tech team and stakeholders.
  • Oversee the planning and design in collaboration with the technical teams.
  • Manage project timelines, deliverables, risk mitigation, and resource allocation.
  • Ensure compliance with data governance, security, and privacy standards.
  • Lead SQL development efforts for data extraction, transformation, and migration.
  • Conduct code reviews and enforce best practices in SQL development and data handling.
  • Manage documentation for ETL pipelines, data dictionaries, and process flows.
  • Good communication skills

  • Technical SkillsAdvanced SQL skills (e.g., writing complex queries, stored procedures).
  • Experience with RDBMS (e.g., SQL Server, PostgreSQL, MySQL, Google Cloud Platform).
  • Proficiency in data warehousing concepts and tools (e.g., Airflow, BigQuery).
  • Familiarity with Google Cloud Platform cloud data platforms and Boomi Integration
  • Strong understanding of data modeling (dimensional/star schema, normalization).
  • Competency in project management tools (e.g., JIRA, MS Project).

  • Project Management & LeadershipAgile/Scrum or Waterfall project management experience.
  • Define project scope, KPIs, timelines, and deliverables.
  • Conduct sprint planning, stand-ups, retrospectives, and backlog grooming.
  • Track project milestones and deliver executive-level reporting.
  • Lead data governance and quality assurance initiatives.
  • Manage stakeholder expectations and ensure project alignment with goals.

  • Deliverables & OutcomesData migration plans and execution from Boomi to modern systems.
  • Optimized and scalable SQL queries and stored procedures.
  • Robust ETL pipelines and data integration solutions.
  • Documentation including data dictionaries, architecture diagrams, etc.
  • Risk assessments, mitigation strategies, and audit logs.
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