About Boards:

Boards is a rapidly growing business platform with over 2 million users, hundreds of thousands of monthly active users, and tens of thousands of paying customers. Backed by prominent global investors like Bessemer, we operate with a dynamic and highly efficient global team. Boards is uniquely positioned to capitalize on significant market opportunities. Our product is designed to eliminate key friction points for business owners, catering to everyone from direct sales agents and solopreneurs to small and medium-sized enterprises. 

About the Role:

Boards is seeking a highly motivated Data Engineer to lead our Data Engineering. This is an exciting opportunity to join a fast-growing startup at an early stage as the first in-house Data Engineer, shaping our data infrastructure and strategy from the ground up. This role reports directly to the Data Lead and will play a key part in scaling our data capabilities.

Responsibilities:

• Take full ownership of the company’s data architecture, ensuring scalability, reliability, and performance.
• Design, build, and maintain data pipelines and datasets to support business growth.
• Play a key role in developing and utilizing LLM models to extract meaningful insights from data.
• Collaborate with data analysts, developers, product managers, finance, and marketing to understand data needs and deliver tailored solutions.
• Maintain and optimize existing production processes to ensure efficiency and reliability.
• Identify company-wide data opportunities, drive impactful initiatives, and lead efforts to implement new tools, workflows, and innovative data solutions.
• Mentor team members by fostering a culture of continuous learning and feedback.
• Evaluate, design, and implement cost-efficient operational processes within our infrastructure.

Minimum Qualifications:

• 3+ years of experience as a Data Engineer or in a similar role.
• Expertise in advanced SQL, including writing complex, efficient queries and building optimized datasets.
• Proficient in Python and Python-based data tools.
• Proven experience in designing and implementing end-to-end data solutions.
• Hands on experience with ETL processes, incremental data pipelines, and building data lakes and data warehouses on cloud platforms.
• Strong understanding of scalable architecture and big data workflow optimization.
• Demonstrated ability to independently execute projects in fast-paced environments.
• Ability to quickly understand data and business needs and translate them into effective data models.
• Strong sense of ownership and accountability for deliverables.
• Excellent teamwork and communication skills.
• Highly motivated to lead and take full ownership of the data engineering domain.

Nice to Have:

• Familiarity with tools such as BigQuery, Airflow, Firebase, Google Analytics, MixPanel,  Rivery and data from App Store and Play Store.
• Experience working in a B2C SaaS startup.