Senior Data Engineer

$145,600 - $156,000/Yr

Pinnacle Group - Tampa, FL

posted 2 months ago

Full-time - Senior
Tampa, FL
Insurance Carriers and Related Activities

About the position

The Senior Data Engineer position is a critical role within the IT and Data ERP team, located in Tampa, Florida. This contract position is designed for a seasoned professional with extensive experience in Data Strategy, Architecture, and Engineering, particularly in the realm of Enterprise Data Engineering. The ideal candidate will have a deep understanding of cloud-hosted solutions, data warehousing, data lakes, and lakehouse models. This role requires a minimum of 15 to 20 years of experience, ideally 20+, in data warehousing and data engineering, with a proven track record of large-scale implementation success stories. In this role, the candidate will serve as a trusted advisor to the Head of HR Data Engineering, the Chief Data Officer, and their direct reports, including Engineering Managers. The candidate will be responsible for reviewing the client's Data Transformation roadmap and providing valuable feedback and suggestions. The position demands a high level of technical expertise, particularly in core technical skills such as cloud platforms (AWS, GCP, Azure), data warehousing solutions (Databricks, Snowflake, Redshift, BigQuery), and data lakes (Hadoop, Spark, Presto). The Senior Data Engineer will also be tasked with developing and executing a comprehensive data strategy that aligns with business objectives, collaborating with stakeholders to identify data requirements and opportunities, and designing and implementing scalable, secure, and high-performing data architectures. The role includes overseeing the development and maintenance of data pipelines, ensuring data quality and compliance, and leading the implementation of data virtualization solutions. Additionally, the candidate will be responsible for developing data governance policies and mentoring junior data engineers, fostering a culture of innovation and collaboration within the team.

Responsibilities

  • Develop and execute a comprehensive data strategy aligned with business objectives
  • Collaborate with stakeholders to identify data requirements and opportunities
  • 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
  • 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
  • Lead the implementation and optimization of data virtualization solutions like Starburst
  • Ensure seamless data access and integration across disparate data sources
  • Develop and enforce data governance policies, procedures, and standards
  • Ensure data security, privacy, and compliance with regulatory requirements
  • Mentor and guide junior data engineers and architects
  • Foster a culture of innovation, collaboration, and continuous learning
  • Make executive level presentations to drive adoption and consensus

Requirements

  • Minimum 15 to 20 years of experience in Data warehousing and Data Engineering
  • Deep understanding of cloud platforms (AWS, GCP, Azure)
  • Experience with data warehousing solutions (Databricks, Snowflake, Redshift, BigQuery)
  • Proficiency in data lakes (Hadoop, Spark, Presto) and lakehouse models (Databricks, Delta Lake)
  • Knowledge of data virtualization tools (Starburst, Denodo) and data security frameworks
  • Experience with data engineering tools (Airflow, Beam, Spark)
  • Proficiency in programming languages (Python, Java, Scala)
  • Experience in API Management and data distribution
  • Awareness of AI/ML applicability in Data Warehousing

Nice-to-haves

  • Experience with data governance and compliance frameworks
  • Familiarity with data quality tools and methodologies
  • Experience in mentoring and team leadership
  • Strong presentation and communication skills

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401K contributions
  • Paid time off (PTO)
  • Sick leave
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