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Director Data Engineering Jobs in Seminole, FL (NOW HIRING)

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

The ideal candidate blends data engineering best practices with applied machine learning, MLOps ... Direct communication with data platform vendors * Evaluates vendor tools for specific data use ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

The ideal candidate blends data engineering best practices with applied machine learning, MLOps ... Direct communication with data platform vendors * Evaluates vendor tools for specific data use ...

Pwc

Data Engineer - Senior Manager

Tampa, FL

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Pwc

Data Strategy & Governance -Director

Tampa, FL · On-site

$155K - $410K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Deloitte

Data Management Lead

Tampa, FL · Hybrid

Mentor data engineers and analysts while partnering tightly with client stakeholders (product ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

Deloitte

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Seminole, FL

Director Data Engineering information

See Seminole, FL salary details

$67.8K

$180.8K

$235.9K

How much do director data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director data engineering in Seminole, FL is $180,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $235,000.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What job categories do people searching Director Data Engineering jobs in Seminole, FL look for?

The top searched job categories for Director Data Engineering jobs in Seminole, FL are:

What cities near Seminole, FL are hiring for Director Data Engineering jobs?

Cities near Seminole, FL with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Seminole, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $180,829 per year, or $86.9 per hour.

Director - Data Goveranance

Hiverecruiter

Saint Petersburg, FL • On-site

$110 - $150/hr

Other

Posted 17 days ago

Job description

Join one of the largest High-Net-Worth MGUs in the market as an Director – Data Goveranance!

Open to remote candidates, with travel to St. Petersburg, FL required at least once every two months.

Candidates located near our offices in New York, New Jersey, Schaumburg, or St. Petersburg are expected to work onsite regularly.

What You’ll Do:

Lead and operationalize enterprise-wide data governance across a distributed application ecosystem.

Establish and maintain data governance frameworks, policies, standards, and operating models.

Build and oversee reconciliation controls between systems, APIs, event streams, and data integrations.

Drive root-cause analysis and permanent remediation of data quality and reconciliation issues.

Partner with engineering, product, analytics, finance, and operations teams to ensure data accuracy and consistency.

Define and enforce data ownership, stewardship, and accountability across business domains.

Develop and maintain data dictionaries, business glossaries, lineage maps, and governance documentation.

Create data quality KPIs, dashboards, and executive-level scorecards to monitor governance performance.

Review and approve schema, API, and data-impacting changes before deployment.

Embed governance controls and standards into Agile/SDLC processes and delivery workflows.

Collaborate with warehouse and analytics teams to ensure application and warehouse data parity.

Lead governance initiatives with internal teams and external implementation partners to improve delivery quality and reduce recurring defects.

What We’re Looking For:

Bachelor’s degree in Information Systems, Computer Science, Data Management, or a related field.

5+ years of hands-on data governance experience, including work within distributed or microservices environments.

Proven experience building scalable data governance and reconciliation programs from the ground up.

Strong SQL expertise with the ability to analyze transactional and warehouse data independently.

Experience with Python or similar scripting languages for automation, profiling, and reconciliation.

Solid understanding of REST APIs, event-driven architecture, integrations, and data contracts.

Experience with enterprise data governance, catalog, or data quality tools.

Knowledge of cloud-based data platforms, modern data infrastructure, and warehouse environments.

Familiarity with master data management, reference data, and identity resolution practices.

Understanding of data privacy, compliance, and regulatory standards such as SOC 2.

Strong analytical, problem-solving, and root-cause investigation skills.

Ability to influence cross-functional teams and hold partners accountable to delivery standards.

Excellent communication skills with the ability to translate technical issues for business stakeholders and executives.

Self-starter mentality with the ability to thrive in ambiguous, fast-paced environments.

Experience within financial services, insurance, or other regulated industries is a plus.

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