Only W2 - No C2C
Pay Range: $70-$75
Location: Tampa, FL (3 days onsite - Hybrid)
Duration: 12 months
Job Description:
- At a high level, client is looking for a seasoned Data Strategy, Architecture & Engineering professional with deep and varied experience in the field of Enterprise Data Engineering & solutioning including Cloud hosted solutions, Data Warehousing, Data Lake and Lakehouse models.
- This candidate will serve as a trusted counsel for me (Head of HR Data Engineering) , my CDO (Chief Data Officer) and my directs (Engineering Managers) – candidate will be trusted to look at client’s Data Transformation roadmap and provide feedback & suggestions.
- The ideal candidate should be a minimum 15 to 20 (ideally 20+) years’ experience in the field of Data warehousing & Data Engineering with large scale implementation success stories.
Core Technical Skills including but not limited to:
- Cloud platforms (AWS, GCP, Azure)
- Data warehousing (Databricks, Snowflake, Redshift, BigQuery)
- Data lakes (Hadoop, Spark, Presto)
- Lake houses (Databricks, Delta Lake)
- Data virtualization (Starburst, Denodo) & Data Security Frameworks
- Data engineering tools (Airflow, Beam, Spark)
- Programming languages (Python, Java, Scala)
- API Management (Data Distribution) – API Versioning, API Management, provide API subscriptions / feeds (JSON, XML, CSV) with scalability & performance.
- AI/ML awareness and its applicability in Data Warehousing (data collection, storage, processing, and distribution).
Key Responsibilities:
Data Strategy:
- Develop and execute a comprehensive data strategy aligned with business objectives
- Collaborate with stakeholders to identify data requirements and opportunities
Data Architecture:
- Design and implement cloud-based data warehousing, data lakes, and lake houses
- Ensure data architecture is scalable, secure, and high-performing
- Lead the evaluation and selection of modern data engineering tools and technologies
Data Engineering:
- Oversee the development and maintenance of data pipelines, ETL/ELT processes, and data integrations
- Ensure data quality, integrity, and compliance with industry standards
- Collaborate with data scientists and analysts to support data-driven decision-making
Data Virtualization:
- Lead the implementation and optimization of data virtualization solutions like Starburst
- Ensure seamless data access and integration across disparate data sources
Governance and Security:
- Develop and enforce data governance policies, procedures, and standards
- Ensure data security, privacy, and compliance with regulatory requirements
Team Leadership:
- Mentor and guide junior data engineers and architects
- Foster a culture of innovation, collaboration, and continuous learning
- Ability to make executive level presentations (fluent with quick decks, architecture sketches to sell ideas and drive adoption & consensus)
Pay Range: $70 - $75
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.