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 Professional-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.