Director, Engineering - Data & Insights (US Eastern time zone)

Responsibilities

• Oversee and manage multiple software engineering teams, ensuring they are working efficiently and are aligned with organizational objectives.
• Provide mentorship and career development opportunities to engineering managers and senior engineers, helping them grow as leaders.
• Lead efforts to recruit, hire, and retain top engineering talent – to ensure we build high-performing, diverse teams that collaborate effectively.
• Foster an environment where teams feel pride and ownership in their product and Rithum as a whole.
• Create and nurture a positive, inclusive, and innovative engineering culture that aligns with company values and promotes teamwork, diversity, and collaboration.
• Create a culture where people don't just point out problems but also become a part of the solution.
• Create a long-term technical vision and strategy that aligns with the company’s business goals.
• Work with C-level executives to translate business needs into actionable engineering plans.
• Collaborate with product management to develop and prioritize the engineering roadmap, ensuring resources are allocated effectively to meet project deadlines and business priorities.
• Plan and manage the engineering budget, ensuring efficient use of resources while balancing project needs and cost constraints.
• Ensure education, awareness, and adherence of your team to Rithum software development processes and standards, including Scrum agile development, automated testing, internationalization, usability, scalability, and service-oriented architecture initiatives.
• Continuously assess and refine development processes to increase efficiency, reduce bottlenecks, and improve collaboration between engineering and other teams.
• Oversee the design and development of advanced software solutions that scale across hundreds of servers and meet aggressive fault tolerance standards.
• Routinely communicate progress, technical challenges, and project outcomes to the executive team, providing insights that guide broader business strategy.
• Ensure that all stakeholders, including product, operations, and business leaders, are aligned on technical initiatives and that expectations are managed effectively.
• Interface with key clients, partners, and external stakeholders when necessary, providing technical insight and ensuring smooth delivery of software products.

Qualifications

• Minimum Qualifications: 10+ years' experience in software development within SaaS industry, AWS data services experience, strong SQL skills at scale with columnar/analytical query engines (Redshift, BigQuery, or equivalent), data warehouse design and ETL/ELT pipeline architecture, familiarity with data lake patterns, streaming or near-real-time data patterns (Kafka, Kinesis, or similar), demonstrated ownership of data quality, governance, and schema management, proven capabilities in building and retaining engaged, high-performing software development teams, experience managing the entire software development lifecycle of SaaS applications at scale, evidence of navigating a fast-paced, dynamic industry (like e-commerce) and delivering products that gain market share, experience using AI tools (ChatGPT, Copilot, Claude, etc.) to accelerate and elevate your outcomes; including but not limited to communication drafting, data analysis, prompt engineering, and/or documentation, exceptional written and spoken English, must be able to work US Eastern Time core business hours.
• Preferred Qualifications: Bachelor's degree or higher in Computer Science or a closely related field, experience with web development, web services, and distributed processing models, familiarity with agile software development practices such as Kanban and Scrum, proven track record of creating scalable software that scales to dozens or hundreds of servers in a distributed, fault tolerant manner, experience with e-commerce, retail, online marketplaces, or digital marketing, Databricks experience, ideally including medallion architecture (bronze/silver/gold), SQL Server background, experience building internal data products or self-serve analytics platforms, exposure to LLM tooling, vector databases, or data pipelines that feed agentic systems, BI tooling proficiency (Tableau, Looker, or Power BI).