Salary for Executive-level / Director Data Integration Engineer during 2024

Salary details

The average executive-level / director Data Integration Engineer salary lies between USD 134,000 and USD 180,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Executive-level / Director Data Integration Engineer roles

The three most common job tag items assiciated with executive-level / director Data Integration Engineer job listings are Python, API Development and FinTech. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 4 jobs API Development | 3 jobs FinTech | 3 jobs APIs | 3 jobs RDBMS | 3 jobs FastAPI | 3 jobs ETL | 1 jobs Oracle | 1 jobs SQL | 1 jobs AWS | 1 jobs Banking | 1 jobs Security | 1 jobs Testing | 1 jobs Architecture | 1 jobs Informatica | 1 jobs Data analysis | 1 jobs DB2 | 1 jobs Computer Science | 1 jobs ELT | 1 jobs Data governance | 1 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Data Integration Engineer roles

The three most common job benefits and perks assiciated with executive-level / director Data Integration Engineer job listings are Parental leave, Health care and Salary bonus. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Parental leave | 4 jobs Health care | 4 jobs Salary bonus | 4 jobs Equity / stock options | 3 jobs Startup environment | 3 jobs Unlimited paid time off | 3 jobs Wellness | 1 jobs Career development | 1 jobs Competitive pay | 1 jobs Team events | 1 jobs Medical leave | 1 jobs

Salary Composition

The salary for an Executive-level or Director Data Integration Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the total salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total package. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while regions with a lower cost of living might offer a higher percentage of bonuses. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to other industries. Larger companies often provide more comprehensive benefits and stock options, while smaller companies might offer higher base salaries to attract talent.

Increasing Salary

To increase your salary from this position, consider pursuing further specialization or leadership roles. Transitioning into a Chief Data Officer (CDO) or a similar executive role can significantly boost your earnings. Additionally, expanding your expertise in emerging technologies such as artificial intelligence, machine learning, and big data analytics can make you more valuable. Networking within industry circles and attending conferences can open up opportunities for higher-paying roles. Another strategy is to negotiate your salary based on market research and your contributions to the company. Pursuing an MBA or executive education programs can also enhance your leadership skills and increase your earning potential.

Educational Requirements

Most Executive-level or Director Data Integration Engineer positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree or Ph.D. is often preferred, especially in larger organizations or more competitive industries. Advanced degrees in business administration or management can also be beneficial, particularly for roles that involve significant leadership responsibilities. A strong educational background in data management, software engineering, and systems integration is crucial for this role.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Engineer Associate
• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Certified Information Systems Security Professional (CISSP) for roles involving data security

These certifications can provide a competitive edge and are often recognized by employers as a testament to your skills and commitment to professional development.

Required Experience

Typically, this role requires at least 8-10 years of experience in data integration, data engineering, or related fields. Experience in managing teams, leading projects, and working with large-scale data systems is crucial. Candidates should have a proven track record of successful data integration projects and experience with various data management tools and platforms. Experience in strategic planning and execution, as well as a deep understanding of industry-specific data challenges, is also important.

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