Manager, Software Engineering

Get to Know Us:

Its fun to work in a company where people truly believe in what theyre doing!

At BlackLine, were committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

Work, Play and Grow at BlackLine!

Make Your Mark:

The Data Engineering Manager at BlackLine will lead a team of skilled data engineers and business intelligence developers to design, implement, and maintain scalable data architectures and customer-facing reports. This role involves overseeing data integration, ensuring data quality, and collaborating with cross-functional teams to meet business needs. The ideal candidate will have a strong technical background in data engineering, excellent leadership skills, and a passion for leveraging data to drive business insights and innovation.

Youll Get To:

If you have a passion for delivering products that make a difference, are driven to make things better in all that you do and are eager to work in a collaborative agile environment where Developers are dedicated to solving customer problems and innovating, then we want to talk to you.

RESPONSIBILITIES ::

1. Team Leadership:

• Lead and manage a team of data engineers and business intelligence developers, providing guidance, mentorship, and support to ensure the successful delivery of data and reporting projects.

• Foster a collaborative and innovative team environment, encouraging continuous learning and professional development.

1. Project Management:

• Oversee the planning, execution, and delivery of both data engineering and reporting projects, ensuring they are completed on time, within scope, and within budget.

• Coordinate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.

1. Data Architecture and Design:

• Design and implement scalable and robust data architectures, including data pipelines and integration with data warehouses / lakes.

• Ensure data solutions are optimized for performance, reliability, and security.

1. Data Integration and ETL:

• Develop and maintain ETL processes to integrate data from various sources into the data platform.

• Ensure data quality and consistency through rigorous testing and validation procedures.

1. Technology and Tools:

• Stay current with emerging data technologies and tools, evaluating their potential impact and applicability to BlackLines data strategy.

• Implement and manage data engineering tools and cloud-based data services (e.g., AWS, Azure, GCP).

1. Data Governance and Compliance:

• Establish and enforce data governance policies and best practices to ensure data integrity, security, and compliance with regulatory requirements.

• Collaborate with the legal and compliance teams to address data privacy and protection concerns.

What Youll Bring:

Qualifications :

1. Education and Experience:

• Bachelors or master s degree in computer science, Data Engineering, or a related field.

• 5+ years experience in data engineering and report building, with a track record of managing and delivering complex data projects.

• 2+ years employee supervisory experience.

1. Technical Skills:

• Strong knowledge of data modeling, database design, and data warehousing concepts.

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS Redshift, Google Big Query).

• Experience with SQL and NoSQL databases like Postgres, MySQL, DynamoDB, Cassandra

• Experience with cloud-based platforms like Snowflake is preferred.

• Knowledge of SQL, including stored procedures, data models, and transactional flows.

• Experience with at least one programming language such as Python, Java, R or Scala.

• Experience with Pandas, Polars and PySpark.

• Experience with BI/Data analytics tools like Sisense and PowerBI is preferred.

• Able to conceptualize overall components of technological stacks and pipelines and convey such information to both technical and non-technical audiences alike.

1. Leadership and Communication:

• Excellent leadership and team management skills, with the ability to motivate and inspire team members.

• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.

1. Problem-Solving and Analytical Skills:

• Strong analytical and problem-solving skills, with the ability to identify and address data-related challenges.

• Ability to think strategically and make data-driven decisions.

Thrive at BlackLine Because You Are Joining:

• A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the worlds most trusted name in Finance Automation!
• A culture that is kind, open, and accepting. Its a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
• A culture where BlackLiners continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.

BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.

Qualifications :

1. Education and Experience:

• Bachelors or master s degree in computer science, Data Engineering, or a related field.

• 5+ years experience in data engineering and report building, with a track record of managing and delivering complex data projects.

• 2+ years employee supervisory experience.

1. Technical Skills:

• Strong knowledge of data modeling, database design, and data warehousing concepts.

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS Redshift, Google Big Query).

• Experience with SQL and NoSQL databases like Postgres, MySQL, DynamoDB, Cassandra

• Experience with cloud-based platforms like Snowflake is preferred.

• Knowledge of SQL, including stored procedures, data models, and transactional flows.

• Experience with at least one programming language such as Python, Java, R or Scala.

• Experience with Pandas, Polars and PySpark.

• Experience with BI/Data analytics tools like Sisense and PowerBI is preferred.

• Able to conceptualize overall components of technological stacks and pipelines and convey such information to both technical and non-technical audiences alike.

1. Leadership and Communication:

• Excellent leadership and team management skills, with the ability to motivate and inspire team members.

• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.

1. Problem-Solving and Analytical Skills:

• Strong analytical and problem-solving skills, with the ability to identify and address data-related challenges.

• Ability to think strategically and make data-driven decisions.