Manager, Engineering - Data
6sense
Our Mission:
6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.
We want 6sense to be the best chapter of your career.
Position Overview: We are looking for a talented Data Engineering Manager with over 8 years of experience in the field. The ideal candidate will have extensive expertise in big data technologies such as Apache Spark and Hadoop, and possess strong programming skills in Python. Experience with Scala is a plus. As an Engineering Manager, you will lead and mentor a team of data engineers, oversee the design and implementation of data systems, and collaborate with cross-functional teams to ensure that our data infrastructure meets the highest standards of performance and reliability.
Key Responsibilities:
- Lead, mentor and manage a team of data engineers, and tech leads. You will be responsible to build, hire and grow the team.
- Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
- Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
- Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop. Ensure data quality, consistency, and security across all data systems
- Work on relentless pursuing of goals on data coverage, data freshness, data quality and key performance & SLA metrics
- Have high technical competence and background with track record of individual technical accomplishments - Ability to play the role of the architect for the team.
- Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption.
- Create clear career paths for team members and help them grow with regular coaching and mentoring; Perform regular performance evaluation and share and seek feedback.
- Stay up-to-date with industry trends and emerging technologies to drive innovation
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role.
- Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools.
- Proficiency in programming languages such as Python and Java; experience with Scala is a plus.
- Proven track record of designing and implementing scalable data systems and pipelines.
- Excellent leadership, communication, and interpersonal skills.
- Strong problem-solving and analytical abilities and a proactive approach to addressing challenges.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com