Preferred (Domain) : Pharma or life sciences background

Key Responsibilities :

1. Solutioning &

- Architecture :
- Translate client requirements into Databricks-based solution designs - data pipelines, Lakehouse layouts, and serving layers.
- Recommend the right Databricks components (Delta Live Tables, Workflows, Unity Catalog, Databricks SQL, Genie) for a given use case.
- Participate in pre-sales and proposal discussions, contributing effort estimates and technical approach.
- Review architecture decisions with senior architects and flag risks or better alternatives.

2. Hands-On Build &

- Delivery :
- Build and maintain end-to-end pipelines : ingestion (Auto Loader, DLT), transformation (dbt or native PySpark/SQL), and serving (Unity Catalog, Databricks SQL).
- Work directly with pharma commercial datasets - IQVIA, Symphony, CRM, Hub/SP, claims - modeling them into clean, governed Delta Lake structures.
- Develop and maintain reusable components : notebooks, job templates, SQL libraries, and data quality checks.
- Configure and tune Genie Spaces and AI/BI dashboards for client-facing analytics use cases.
- Own workspace-level hygiene : cluster policies, job scheduling, cost tracking, and performance tuning.

3.

Platform

Currency &

- Best Practices :
- Stay updated with new Databricks releases and features and assess their relevance to pharma use cases.
- Bring new capabilities into existing client engagements where they create real value.
- Contribute to and maintain internal Databricks standards, templates, and knowledge base.
- Support the certification and upskilling of junior engineers and analysts.

4. Client &

- Team Collaboration :




- Act as the day-to-day Databricks technical point of contact on assigned client engagements.
- Explain technical trade-offs in plain terms to non-technical stakeholders.
- Collaborate with analytics, forecasting, and delivery teams.

5.

Practice Building :

- Help establish the Databricks practice at DataZymes - codifying reusable design patterns, reference architectures, and coding standards.
- Design and build solution accelerators for common pharma use cases (prescription analytics, patient cohort analysis, omnichannel attribution).
- Support partnership conversations with Databricks by contributing technical input.

Ideal Candidate :

- Strong hands-on Databricks Architect/Engineer profile with end-to-end build-and-solution capability and Databricks professional certification.
- 5+ years in Data engineering/Data architect roles, with at least 3 years of hands-on Databricks experience.
- Must be able to design a solution end-to-end and build it themselves.
- Must have experience translating client/business requirements into Databricks solution designs.
- Must have built and maintained end-to-end pipelines (ingestion, transformation, serving).
- Must hold at least one active Databricks Qualified-level certification.
- Solid working knowledge across the Databricks stack (Delta Lake, DLT, Unity Catalog, Auto Loader, Databricks SQL, Workflows).
- Strong SQL and PySpark skills.
- IT services/consulting background with direct delivery on client engagements preferred.
- Stable tenure : 2+ years average per employer.
- Role is Hybrid, with WFH flexibility up to 6 days a month.

Note : CTC is inclusive of 20% variable.

📌 Databricks Engineer (India)
🏢 HumanWiz
📍 India