GBIT (Global Bridge InfoTech Inc) | Information Technology Delivery Manager

5 days ago

miami, United States GBIT (Global Bridge InfoTech Inc) Full time

Role: Technology Delivery Leader/ Head- Data

Location: Miami, FL - Onsite

Contract Role


*** Need only USC, GC & EADs on W2 ***


Job Summary:

We are seeking an experienced and dynamic Technology Leader/ Head - Data to oversee and lead a wide range of data initiatives, with a primary focus on the migration of on-premises infrastructure to AWS. This role will also involve strategic leadership in the areas of Big Data, AI/ML, BI Tools, and managing lift-and-shift data projects. The ideal candidate will have a deep understanding of data architectures, cloud technologies, and advanced analytics, with a proven track record in leading complex technical projects and building high-performing teams.


Key Responsibilities:

  • Lead On-Premises to AWS Migration:
  • Oversee the end-to-end migration strategy and execution for moving data workloads and applications from on-premises to AWS cloud infrastructure.
  • Ensure seamless migration of data platforms, systems, and applications while minimizing downtime and optimizing for cost, performance, and security.
  • Implement scalable data architectures that align with cloud-native design principles.
  • Big Data & Cloud Infrastructure Management:
  • Architect and implement Big Data solutions using AWS services like Redshift, S3, EMR, Kinesis, etc.
  • Design and maintain robust data pipelines, ensuring high availability, data integrity, and performance.
  • Leverage cloud-based analytics to process large-scale datasets and derive actionable insights.
  • AI/ML Strategy and Implementation:
  • Drive the development of AI/ML models and solutions to extract business value from data.
  • Collaborate with cross-functional teams to identify AI/ML opportunities and drive model deployment at scale using AWS services like SageMaker.
  • Provide thought leadership on the adoption of emerging AI/ML technologies.
  • Business Intelligence (BI) Tools Integration:
  • Lead the integration and implementation of BI tools (e.g., Power BI, Tableau, Looker, etc.) for data visualization and reporting.
  • Design and deploy data models for efficient reporting and decision-making across the organization.
  • Ensure that business users have timely access to data insights via user-friendly dashboards and reports.
  • Data Governance & Security:
  • Ensure compliance with relevant data protection regulations, such as GDPR, and maintain security best practices for data management in the cloud.
  • Define and implement data governance policies around data quality, access control, and metadata management.
  • Maintain a strong focus on data security, privacy, and disaster recovery planning during the migration and beyond.
  • Leadership and Team Development:
  • Lead a team of data engineers, data scientists, and analysts, providing technical direction and mentorship.
  • Foster a collaborative and innovative work environment, encouraging knowledge sharing and best practices.
  • Manage stakeholder expectations, project timelines, and resources while delivering high-quality results.
  • Lift-and-Shift Data Projects:
  • Oversee the execution of lift-and-shift data migration projects, ensuring that legacy systems are efficiently moved to the cloud.
  • Assess legacy data architectures and recommend modernizations to optimize cloud-based performance.
  • Collaborate with various teams to ensure minimal business disruption during the migration process.


Key Skills & Qualifications:

  • Technical Skills:
  • Strong experience with AWS cloud technologies, including EC2, S3, Redshift, EMR, Lambda, RDS, Kinesis, SageMaker, etc.
  • Expertise in Big Data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
  • Experience in designing and deploying AI/ML solutions in production environments.
  • Proficiency with BI tools such as Power BI, Tableau, or Looker.
  • Deep knowledge of data architecture, ETL processes, and cloud data management practices.
  • Familiarity with data security best practices in cloud environments.
  • Leadership Skills:
  • Proven track record of leading and managing cross-functional teams, particularly in the areas of data, AI/ML, and cloud migration.
  • Strong communication and interpersonal skills with the ability to influence stakeholders at all levels.
  • Ability to drive complex projects forward while managing multiple priorities and tight deadlines.
  • Experience:
  • 15+ years of experience in data engineering, data architecture, or cloud infrastructure roles.
  • 5+ years of hands-on experience in AWS cloud environments and Big Data technologies.
  • Strong background in managing data migrations, particularly in lift-and-shift scenarios.
  • Solid understanding of AI/ML lifecycle, from data preparation to model deployment and optimization.
  • Education:
  • Bachelor’s degree in computer science, Information Technology, or a related field (Master’s degree preferred).


Additional Qualifications:

  • AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data Specialty) are a plus.

Experience with Agile methodologies and DevOps practices in data environments

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