Job Description
Ovii's Interpretation of the Role
The Data Platform Manager will lead a team that designs, builds, and operates a cloud‑native data platform powering analytics, AI, and product use cases. The role balances roadmap ownership, platform reliability, governance, and team development within G2’s B2B software marketplace.
Role Snapshot
- Lead data platform engineering team
- Own roadmap for ingestion‑to‑serving layers
- Ensure platform reliability, governance, and cost efficiency
- Drive technology choices (Snowflake, AWS, dbt, Airflow)
- Mentor engineers and technical leads
- Collaborate with product, analytics, and security stakeholders
Must-Have Requirements
- SQL
- Python
- Data modeling
- ELT/ETL development
- Snowflake
- AWS data services (EKS, S3, Lambda, Glue, Redshift)
- Airflow or dbt
- Data quality, lineage, metadata management, observability
- data engineering
- cloud data architecture
- engineering leadership
Nice-to-Have Signals
- Docker/Kubernetes
- Startup environment experience
- Agile/CI‑CD process familiarity
- Reporting tools (Tableau, Looker, PowerBI, Qlikview)
- Database administration
- startup environment
- Agile process
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Travel requirement
- Security clearance
- Coding test
What You'll Likely Work On
- Define and execute the data platform roadmap across ingestion, transformation, storage, and access
- Set and enforce architecture standards, engineering best practices, and development patterns
- Partner with analytics, data science, and product teams to make data reliable, discoverable, and accessible
- Implement platform SLAs/SLOs, monitoring, alerting, and data‑quality frameworks
- Lead incident management, root‑cause analysis, and continuous improvement of operations
- Optimize cloud costs through performance tuning and workload governance
- Build and grow a high‑performing engineering team, handling hiring, onboarding, and career development
- Communicate platform progress, risks, and trade‑offs to senior stakeholders
Good Fit If You Have
- Experience with Docker/Kubernetes
- Background in fast‑paced startup environments
- Familiarity with Agile, CI/CD automation, and Test‑Driven Development
- Knowledge of reporting tools such as Tableau, Looker, or PowerBI
- Database administration experience
Skills
- SQL
- Python
- Data modeling
- ELT/ETL development
- Snowflake
- AWS data services (EKS, S3, Lambda, Glue, Redshift)
- Airflow or dbt
- Data quality, lineage, metadata, observability