Principle Engineer - Data

Saltmine is a rapidly growing technology firm in the Commercial Real Estate space disrupting the $300B workspace design-build market. We are applying modern technology to transform the process by which office design is done from workplace strategy to programming to design and procurement. With deep roots in technology and architecture design, we've built a first of its kind SaaS platform that empowers occupiers and their business partners to design inspiring and efficient spaces.

The company is headquartered in San Francisco with offices in NYC, Boston, Budapest, Vietnam, and Singapore, with an incredibly talented group of employees. We have closed our Series A funding round from marquee VC firms from Singapore & USA.

Saltmine is seeking a highly skilled and motivated Data Team Leader to spearhead the establishment and growth of our data team in Bangalore.(requires relocation) The ideal candidate will possess a unique blend of technical expertise, leadership capabilities, and a passion for building high-performing teams.

Responsibilities

Establishing and leading the Data Team:

• • Build and lead a lean world-class data team from scratch(0-1), comprising data engineers, analysts, and scientists.
  • Provide mentorship, guidance, and technical leadership to team members, fostering a culture of continuous learning and innovation.
  • Develop and implement effective strategies for talent acquisition, onboarding, and retention.

Building Application Layer Data Products:

• • Design and develop robust, scalable data products to address business needs, with a focus on the application layer.
  • Collaborate closely with cross-functional teams to understand requirements and translate them into actionable technical solutions.
  • Drive the end-to-end development process, from ideation and prototyping to deployment and maintenance.

Data Engineering:

• • Oversee the design, implementation, and optimization of Saltmine's data architecture and infrastructure.
  • Lead efforts to address data discrepancy issues and real-time data access challenges, ensuring data integrity and availability.
  • Architect and build data pipelines for efficient data ingestion, processing, and storage.

Data Analysis:

• • Define and implement best practices for data analysis and reporting, enabling stakeholders to derive actionable insights from Saltmine's vast data repository.
  • Partner with business teams to identify key performance metrics and develop interactive dashboards and visualizations for real-time monitoring and decision-making.

Data Science: Experimentation and Opportunity Unlocking

• • Lead the design and execution of experiments to unlock valuable insights and opportunities for the company in the field of artificial intelligence (AI).
  • Develop hypotheses and experimental frameworks to test the efficacy of AI-driven solutions in addressing business challenges and driving growth.
  • Utilize advanced statistical techniques and machine learning algorithms to analyze experimental data and draw actionable conclusions.
  • Collaborate with cross-functional teams to identify strategic areas for AI implementation and develop innovative solutions to enhance product capabilities and customer experiences.
  • Stay abreast of the latest developments and trends in AI research and technology, leveraging emerging tools and methodologies to drive continuous improvement and innovation.

Data Governance and Security:

• • Define and enforce data governance policies and procedures to ensure compliance with regulatory requirements and industry standards.
  • Implement robust security measures to protect Saltmine's data assets against unauthorized access, breaches, and vulnerabilities.
  • Establish monitoring and auditing mechanisms to track data usage, access patterns, and security incidents.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
• Proven 8-10 years of experience in data engineering, with a focus on optimizing and troubleshooting complex data systems.
• Strong proficiency in programming languages such as Python, SQL, and Java/Golang/JavaScript, with hands-on experience in software development and data engineering.
• Expertise in data modeling, ETL processes, and database technologies (e.g., SQL, NoSQL, Hadoop, Spark).
• Experience with data visualization tools and BI platforms (e.g., Sisence, Tableau, Power BI).
• Solid understanding of statistical analysis, machine learning techniques, and data science methodologies.
• Excellent communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
• Demonstrated leadership qualities, including strategic thinking, decision-making, and team-building abilities.