Job description
What we want to accomplish and why we need you
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.
About the Role
We are looking for a hands-on Data Engineer to help build and maintain the data foundation and semantic layer for our Customer Success organization. This role will focus on designing clean, reliable data pipelines and automations that power our downstream ingestion by different tools like Tableau and Gainsight.
You’ll work closely with the CS Operations and Analytics teams to unify data from multiple systems (BigQuery, Salesforce, Gainsight, and others) into a single, trusted source of truth. This is a high-impact role that will shape how we use data to drive customer outcomes and internal decision-making.
Key Responsibilities
Data Architecture & Infrastructure
- Design, maintain, and optimize a clean, well-structured data architecture in BigQuery to support analytics, automation, and business intelligence.
- Build and manage ETL/ELT pipelines between BigQuery, Salesforce, Gainsight, and other systems for seamless, scalable data flow.
- Set up and manage GCP infrastructure, including Cloud Storage buckets, triggers, and scheduled workflows, to automate ingestion and transformation.
- Create and maintain data models and standardized tables in BigQuery to support analytical needs across the Customer Success organization.
- Document data architecture, pipelines, and automation workflows to ensure maintainability and reproducibility.
Automation & Integration
- Implement process automations (e.g., alerts, email triggers, Slack notifications) based on data thresholds or business events.
- Build and maintain bi-directional syncs between systems (e.g., BigQuery ↔ Salesforce) using APIs or workflow tools such as Workato, Zapier, or custom Python scripts.
- Partner with the analytics team to ensure efficient data delivery and optimal Tableau dashboard performance.
Collaboration & Governance
- Collaborate cross-functionally with Customer Success, Product, Finance, and Sales to align on data definitions, access, and governance standards.
- Proactively identify data quality issues, redundancies, or inefficiencies, and lead remediation efforts to maintain data integrity.
- Work closely with Edison, Sri, and Becca to prioritize and deliver key data initiatives that enhance visibility into client and business performance.
Qualifications
- 3–5 years of experience in data engineering, analytics engineering, or data operations roles.
- Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
- Strong proficiency in SQL and experience managing large datasets in BigQuery (or similar cloud data warehouses).
- Hands-on experience with Google Cloud Platform (Cloud Functions, Cloud Storage, IAM, scheduling, automation triggers).
- Working knowledge of Salesforce data structures and APIs; experience integrating Salesforce or Gainsight with data warehouses is a strong plus.
- Experience with ETL/ELT tools (e.g., dbt, Airflow, Fivetran) and scripting languages such as Python for data transformation and automation.
- Familiarity with Tableau (or similar BI tools) to support analytics teams with optimized, trusted data sources.
Tell me About Suki
- Series D raised!
- On a roll: Announced major partnerships with Google
- Great team: Founded, managed and backed by successful veterans of Google and Apple in tech and UCSF and Stanford in medicine. We have technologists and doctors working side by side to solve difficult problems.
- Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
- Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation and order entry solutions - our vision is to become the voice user interface for healthcare, bringing innovation that relieves the administrative burden on doctors instead of adding to it.
- Great customers: Help our doctors save time in their day so they can focus on providing great care.
- Impact: A fun and exciting start-up culture that empowers its people to make a huge impact.
Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way and we look forward to growing our team with these shared values.
Working at Suki: Our hybrid model offers the perfect balance of in-office collaboration and remote flexibility which includes three days in the office (Monday, Tuesday and Wednesday) and two days work from home (Thursday and Friday).The role is located in Bangalore and will require working from office three days a week.
