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Data Strategy Engineer Jobs in Florida (NOW HIRING)

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

... Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following: Data Strategy and Governance * Intimately familiar with data ...

... strategy for both external and internal stakeholders. Role Overview The Director of Data Platform will lead a team of two data engineers and four BI specialists to deliver a robust data platform that ...

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... strategy for both external and internal stakeholders. Role Overview The Director of Data Platform will lead a team of two data engineers and four BI specialists to deliver a robust data platform that ...

... strategy for both external and internal stakeholders. Role Overview The Director of Data Platform will lead a team of two data engineers and four BI specialists to deliver a robust data platform that ...

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Experience in data strategy, data governance, or data management Experience gathering stakeholder ... Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ...

The Senior Data Developer will be, extracting, transforming, and loading data from various sources ... Should develop, document, implement, maintain and enforces the comprehensive data strategy ...

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Data Strategy Engineer information

What is the difference between Data Strategy Engineer vs Data Analyst?

AspectData Strategy EngineerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; certifications in data management or cloud platformsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, business strategists, and IT teams to develop data strategiesWorks with data sets to generate reports, dashboards, and insights for business decisions
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data-driven strategiesCommon across various industries for operational and marketing insights

The Data Strategy Engineer focuses on designing and implementing data strategies to support business goals, often working on data architecture and governance. In contrast, the Data Analyst primarily interprets data to generate reports and insights. Both roles require strong analytical skills, but the Data Strategy Engineer has a broader scope involving strategic planning and data infrastructure.

What jobs will boom in 10 years?

Data Strategy Engineers and related data roles are expected to grow significantly as organizations increasingly rely on data-driven decision-making, advanced analytics, and AI integration. Skills in data management, cloud platforms, and programming languages like Python or SQL will be highly valuable in this evolving job market.

Is 40 too late for data science?

For a Data Strategy Engineer or similar data-focused roles, starting a career in data science at age 40 is feasible, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Age is less important than skills, continuous learning, and adapting to industry demands.

How much does a data strategist make?

A data strategist's salary typically ranges from $80,000 to $150,000 annually, depending on experience, industry, and location. Senior roles or those requiring advanced skills in data analysis, machine learning, or strategic planning may offer higher compensation.

Can I make 200K as a Data Engineer?

Data Strategy Engineers and Data Engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, data architecture, and certifications. Salaries vary by industry, location, and company size, with senior roles and specialized expertise commanding higher compensation.
What cities in Florida are hiring for Data Strategy Engineer jobs? Cities in Florida with the most Data Strategy Engineer job openings:
Data Engineer - Manager

Data Engineer - Manager

Pwc

Jacksonville, FL

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As a Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role, you will have the opportunity to work with a diverse range of clients, helping them to harness the power of data and analytics to achieve their business objectives.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and managing data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Leading teams in the strategic planning and execution of data-driven projects
- Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake
- Guiding team members in data architecture development and database optimization
- Validating data quality, security, and compliance within analytics frameworks
- Identifying opportunities for data utilization to drive business growth and performance
- Mentoring junior staff to develop their skills and encourage innovation
- Addressing conflicts and engaging in critical conversations with clients and stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Utilizing Amazon Web Services (AWS) and Azure Data Factory for data engineering
- Developing data architecture and optimization strategies using Snowflake and Databricks
- Implementing data anonymization and security best practices in complex systems
- Excelling in dimensional modeling and data pipeline management
- Leading teams in data warehouse troubleshooting and performance tuning
- Mentoring junior staff in data strategy and validation techniques

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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