The Opportunity

We are seeking a highly experienced and talented Vice President of Data Engineering to join our fast-growing SaaS company. The ideal candidate will have a proven track record in building robust data pipelines and processes, along with a strong background in AWS, Python, and data consolidation techniques. Reporting directly to the CTO, this strategic role requires excellent communication and organization skills, as well as the ability to lead and mentor a team. The Vice President of Data Engineering will play a crucial role in driving our company's growth and scalability by managing budgets, reporting on ROI, and analyzing team and individual metrics.

Role Responsibilities

Lead the design, development, implementation, and maintenance of scalable data pipelines and processes to support our rapidly growing SaaS platform.
Oversee the consolidation, validation, and transformation of data from various sources into a unified and reliable format.
Collaborate closely with cross-functional teams to understand business requirements and provide data solutions that meet their needs.
Manage and mentor a team of data engineers, fostering a collaborative and high-performance work environment.
Develop and enforce best practices for data engineering, including coding standards, documentation, and quality assurance processes.
Stay up-to-date with industry trends, emerging technologies, and advancements in data engineering techniques, and assess their potential impact on our business.
Effectively communicate complex technical concepts to non-technical stakeholders, including executives and other department heads.
Take ownership of the data engineering budget, including resource allocation, vendor management, and cost optimization.
Analyze and report on the ROI of data engineering initiatives, identifying areas for improvement and recommending actionable strategies.
Track team and individual performance metrics, providing constructive feedback and implementing performance improvement plans as necessary.

Candidate Requirements

Bachelor's or master's degree in computer science, engineering, or a related field.
Proven experience in a similar role, preferably in a fast-growing SaaS company.
Strong expertise in building scalable data pipelines using AWS services such as S3, Glue, Redshift, and Lambda.
Proficiency in Python programming and related frameworks/libraries for data engineering tasks.
Solid understanding of data consolidation and validation techniques, including data cleansing, deduplication, and data integrity checks.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
Demonstrated leadership experience, with the ability to mentor and develop a high-performing team.
Analytical mindset with a focus on data-driven decision-making.
Experience managing budgets and reporting on financial and performance metrics.
Strong business acumen and the ability to align data engineering strategies with company goals and objectives.

Check out what our employees think about working at Seamless: CLICK HERE

Seamless.AI has been delivering the world's best sales leads since 2015. Our product is the first real time, B2B search engine helping sales teams maximize revenue, increase sales, and easily acquire their total addressable market using artificial intelligence. We have been recognized as one of Ohio’s fastest growing companies and won 2020 Best Places to Work, LinkedIn’s Top 50 Tech Startups in 2020 and 2022, and Purpose Jobs 2023 Best Workplace Culture and Best Work-life balance. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Visa Sponsorship is not included in our hiring package. Applicants will need to be authorized to work in the U.S.

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Vice President of Data Engineering - Remote US