Hiring organization
Employment Type
Contractor
Duration of employment
12 Months
Job Location
Tampa FL
Base Salary
€00-€00
Date posted
October 30, 2025
Position title
Data Lead or Architect - Onsite ( Tampa FL)
Description
We are currently looking to hire a [Data Lead or Architect] and we believe your skills and expertise are a better match for this role. We have an exciting career opportunity for you with one of our esteemed clients at [Tampa FL].
“NJTECH is a globally managed IT services, IT consulting and business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. We play a major role in helping our clients to achieve their objectives at the highest level; ultimately creating sustainable value to customers.”
Role : Data Lead or Architect
Location : Onsite – Tampa FL
Duration: Long term
Responsibilities
Key Responsibilities and Skills:
- Architect and design cloud-based data solutions using AWS services such as S3, Redshift, Glue, Lambda, EMR, and Athena.
- Lead end-to-end data migration projects from on-premises or legacy systems to AWS, ensuring data integrity, security, and performance optimization.
- Develop data ingestion, transformation, and processing pipelines using Apache Airflow for orchestration and Python for data manipulation.
- Collaborate with stakeholders to define the data architecture roadmap, ensuring scalability, reliability, and alignment with business goals.
- Establish and enforce data modeling standards, best practices, and reusable frameworks for data integration and governance.
- Work closely with DevOps teams to enable CI/CD automation, version control, and deployment pipelines for data solutions.
- Optimize data storage and retrieval strategies, ensuring cost-effective and performant architecture across multiple data zones (raw, curated, and analytics).
- Implement data quality and lineage frameworks, integrating tools like AWS Glue Data Catalog, Collibra, or Alation.
- Design and manage data migration blueprints, mapping legacy data models to target AWS architecture.
- Provide technical leadership for cross-functional teams, ensuring adherence to architectural guidelines and performance KPIs.
- Conduct code reviews, mentor junior engineers, and guide teams on Python-based ETL best practices.
- Work with business analysts, data scientists, and other stakeholders to translate business requirements into scalable data solutions.
Required Skills & Experience:
- 8–12+ years of experience in data engineering, or ETL development.
- Strong hands-on experience with AWS Cloud, including services such as:
- S3, Redshift, Glue, Lambda, EMR, Kinesis, Step Functions, and Athena.
- Advanced Python programming skills for building ETL pipelines, data wrangling, and automation.
- Expertise in Apache Airflow – DAG design, task dependencies, scheduling, and performance tuning.
- Proven experience leading data migration projects from on-premises databases or legacy systems to AWS.
- Solid understanding of data modeling, data lakes, and data warehouse design patterns (Kimball/Inmon).
