Aarohaan Sales and Services
Website:
aarohaan.com
Job details:
Company Description Aarohaan Sales and Services focuses on delivering specialized services within targeted business sectors, helping organizations grow in specific, high-impact areas. The company emphasizes long-term partnerships for success, managing end-to-end cycles with minimal effort required from clients. Aarohaan collaborates closely with small firms and businesses to support sustainable growth and operational efficiency. Its core offerings include recruitment and hiring, channel partnership, sales and services of products, and personnel management, creating integrated support for clients across multiple functions.
Role Description<
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We are looking for a Databricks Architect with deep Data Engineering expertise to build lakehouse
solutions that are scalable, reliable, and secure. The architect will work closely with customers to design
customised data platforms that accelerate analytics, reporting, and advanced use cases.
Key Role & Responsibilities
- Define lakehouse architecture: medallion (bronze/silver/gold) patterns, batch/streaming
designs, and multi-workspace strategies.
- Design and implement data pipelines using Spark, Delta Lake, and Databricks workflows (Jobs/Workflows, DLT where applicable).
- Establish governance and security using Unity Catalog, access controls, lineage, and data quality gates.
- Optimise performance: cluster policies, autoscaling, partitioning, file sizing, caching, Spark tuning, and job orchestration.
- Build CI/CD and release governance for notebooks, repos, jobs, and infrastructure-as-code.
- Integrate Databricks with enterprise ecosystem (cloud storage, event streaming, data warehouse, BI tools).
- Conduct solution workshops with customers; provide options and trade-offs; create phased implementation roadmaps aligned to business value.
- Mentor teams, enforce engineering standards, and ensure operational excellence (monitoring, incident response, SRE practices).
Must Haves
- 12+ years experience with a strong Data Engineering background (ETL/ELT, distributed
compute, production-grade pipelines).
- 5+ years hands-on Databricks experience in architecture/technical leadership roles.
- Strong experience in Apache Spark (PySpark/Scala), Delta Lake, pipeline design, and performance tuning.
- At least 1 Databricks Certification.
- Experience with data orchestration and DevOps practices (Git, CI/CD, testing frameworks).
- Experience designing secure data platforms (RBAC, secrets, network/security integration, compliance considerations).
- Strong customer-facing skills: requirements discovery, solution design, and stakeholder management.
Good to Have
- Streaming experience (Kafka/Event Hubs, Structured Streaming, CDC patterns).
- ML/AI enablement experience (MLflow, feature engineering, mode lifecycle) as it relates to platform design.
- Cloud certifications or platform-specific certifications.
Education
- Bachelor’s/Master’s in Computer Science, Engineering, or related fields.
- Key Skills: Databricks, Python, Spark, Data Architecture, Data Pipelines
Click on Apply to know more.
