Solution Architect

5 days ago

Remote, India Digivate Labs Full time

**Position**: Solution Architect

**Experience**: 10+ years

**Qualification**: Bachelor’s or master’s degree in computer science, Software Engineering, or a related field

**Location**: Gurgaon (Currently Work from Home till further notice)

**Role Overview**:
**Key Responsibilities**:
**1. Solution Architecture & Delivery**
- Design and implement scalable and secure Lakehouse architectures using Databricks across AWS, Azure, and GCP.
- Lead cloud data migration projects from legacy systems (e.g., on-prem, Hadoop, Snowflake, SQL Server) to Databricks.
- Architect solutions for real-time and batch data processing pipelines leveraging Delta Lake and Apache Spark.
- Provide architectural guidance on advanced use cases like streaming, ML pipelines, and data lineage.

**2. Technical Leadership**
- Mentor and guide cross-functional teams of data engineers and developers.
- Establish and promote best practices for CI/CD, data quality, monitoring, and security within Databricks environments.
- Review and optimize Spark jobs for performance, scalability, and cost-efficiency.

**3. Client Engagement & Advisory**
- Act as a trusted advisor to enterprise clients, driving strategic roadmaps for cloud adoption and modernization.
- Translate complex technical requirements into scalable solutions aligned with client business goals.
- Conduct technical workshops, PoCs, and architecture reviews with key stakeholders.

**4. Platform Expertise**
- Hands-on implementation and troubleshooting across cloud platforms: AWS (EMR, Glue, S3, IAM), Azure (ADF, Synapse, ADLS), and GCP (BigQuery, GCS, Dataflow).
- Leverage Unity Catalog, Databricks SQL, MLflow, AutoLoader, and DBFS effectively.
- Evaluate third-party integrations and tools within the Databricks ecosystem for advanced use cases.

**Required Qualifications**:
**Technical Skills**:

- **Databricks**: Advanced knowledge of Databricks architecture, Unity Catalog, SQL Warehousing, and cluster configurations.
- **Spark**: Deep understanding of Apache Spark internals including RDDs, DAGs, Catalyst, Tungsten, and job tuning.
- **Languages**: Proficiency in **Python** (PySpark, pandas) and **Java** (JVM tuning, Spark APIs).
- **Cloud Platforms**: Strong experience with **AWS**, **Azure**, and **GCP** services for data processing and storage.
- **Tools**: Experience with orchestration tools (e.g., Airflow, Azure Data Factory), DevOps (Git, Jenkins, Terraform), and monitoring (Datadog, Prometheus, etc.)

**Experience**:

- 10+ years in data engineering, big data, or cloud architecture roles.
- At least 3 large-scale data migration or modernization projects delivered successfully.
- Proven client-facing consulting experience with Fortune 500 enterprises.

Pay: ₹3,000,000.00 - ₹6,000,000.00 per year

**Benefits**:

- Provident Fund
- Work from home

Schedule:

- Monday to Friday

Work Location: Remote

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