Technical Architect

Ovii's Interpretation of the Role

We are looking for a Technical Architect to design and build scalable data connector frameworks on Google Cloud. You will lead integration pipeline development, implement robust OAuth and rate‑limiting mechanisms, and guide junior engineers through TDD and PRD delivery.

Role Snapshot

• Design reusable data connector frameworks
• Lead integration platform development
• Architect OAuth and rate‑limiting solutions
• Mentor junior engineers
• Drive test‑driven development
• Collaborate with cloud data services

Must-Have Requirements

• Python (including PySpark, pyarrow)
• Data engineering (5+ years)
• Connector/integration framework development (2+ years)
• SaaS ingestion platform experience
• OAuth 2.0 flows
• Rate limiting strategies
• Incremental sync patterns (CDC)
• Test‑driven development (TDD)
• Product requirement document (PRD) authoring
• data engineering
• connector/integration framework development

Nice-to-Have Signals

• Databricks Asset Bundles / Lakeflow pipelines
• Databricks Python Data Source API
• GCP DTS or Cloud Data Fusion connectors
• Social Ads APIs or enterprise SaaS sources
• Databricks
• GCP DTS
• Social Ads APIs

Work Setup

• Location: Gautam Buddha Nagar, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Build and maintain reusable connector frameworks for multi‑SaaS data ingestion.
• Implement robust authentication and rate‑governance using OAuth 2.0 and token‑bucket strategies.
• Develop and optimize Spark‑based pipelines with PySpark and pyarrow for high‑performance processing.
• Integrate SaaS ingestion platforms such as Fivetran, Airbyte, Google DTS, or AWS Glue at the connector‑build level.
• Author comprehensive test suites and PRDs to enable junior engineers to deliver features with minimal guidance.
• Collaborate with cross‑functional teams to align connector designs with overall cloud data strategy.

Good Fit If You Have

• Prior exposure to Databricks Asset Bundles or Lakeflow pipelines.
• Experience with Databricks Python Data Source API (DBR 15.4 LTS+).
• Familiarity with GCP Data Transfer Service or Cloud Data Fusion connectors.
• Knowledge of Social Ads APIs (Meta, LinkedIn, X) or enterprise SaaS sources like Salesforce or Oracle.