Business Intelligence Advisor

5 days ago

Bengaluru Karnataka, India NTT DATA Full time

**Req ID**: 339160

We are currently seeking a Business Intelligence Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Description: Databricks Architect

Position Overview

Key Responsibilities:
Architecture & Design
- Design end-to-end scalable data solutions using Databricks, Delta Lake, and Spark.
- Define standards, best practices, and governance frameworks for Databricks implementations.
- Architect real-time, near-real-time, and batch data pipelines for structured, semi-structured, and unstructured data.

Data Engineering & Development
- Build and optimize ETL/ELT pipelines using Databricks, Spark, Python/Scala, and SQL.
- Implement data quality, lineage, and observability frameworks.
- Develop and maintain reusable templates, components, and accelerators.

Cloud Integration
- Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and their native services (e.g., Azure Data Lake, AWS S3, BigQuery, etc.).
- Ensure proper security, authentication, and role-based access control in Databricks.
- Collaborate with DevOps teams to establish CI/CD pipelines for Databricks workflows.

Leadership & Collaboration
- Partner with data scientists, analysts, and business stakeholders to understand use cases and design optimal solutions.
- Mentor and guide data engineers on Databricks best practices and performance tuning.

Required Qualifications:

- 8+ years of experience in data engineering, big data, or cloud data platforms.
- Proven expertise in Databricks, Apache Spark, and Delta Lake.
- Strong programming skills in Python, SQL, and/or Scala.
- Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP).
- Strong understanding of data modeling, lakehouse architecture, and distributed systems.
- Experience with data governance, data security, and compliance practices.
- Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications:

- Databricks Certified Data Engineer Professional or Certified Solutions Architect certification.
- Knowledge of BI and reporting tools (Power BI, Tableau, Looker, etc.).
- Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, etc.).
- Experience in leading the enterprise-scale data architecture initiatives.
- Exposure to cutting-edge technologies in cloud and analytics.

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