Leading Data Architectures

21 hours ago

Hyderabad, Telangana, India beBeeDataEngineering Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

Job Title: Data Engineering Leader

We are seeking a seasoned data engineer to lead the design and development of modern data architectures, drive enterprise data transformation initiatives, and contribute to a future-ready data ecosystem.

This is a strategic role for a data expert who enjoys solving high-impact business problems through modern data platforms, scalable pipelines, and cloud-native tools.

Data Engineering Responsibilities:

  • Spearhead the design and implementation of scalable, high-performance data pipelines using PySpark, SQL, and Delta Lake.
  • Develop and optimize data lakehouse architectures, ensuring robust data ingestion, transformation, and storage.
  • Build and manage ETL/ELT workflows integrating structured and semi-structured data from diverse sources.
  • Apply best practices in data modeling, partitioning, and performance tuning.

Cloud & Platform Integration:

  • Leverage Databricks on Azure for large-scale distributed processing, including job orchestration and notebook management.
  • Collaborate with platform teams to enable secure, scalable, and governed data environments across cloud ecosystems.

Solutioning & Collaboration:

  • Partner with business analysts, architects, and client stakeholders to translate business needs into scalable data solutions.
  • Ensure data quality, lineage, and observability through tools like Unity Catalog, Great Expectations, or Azure Purview.
  • Guide and mentor junior engineers, enforce code and design standards, and drive adoption of reusability and best practices.
  • Document technical designs, data flow diagrams, and data governance procedures.

Requirements:

  • 6+ years of experience in data engineering, with focus on data warehousing, distributed processing, and cloud platforms.
  • 3+ years of hands-on experience in Databricks: PySpark, Delta Lake, MLflow (optional).
  • Proficient in SQL, data modeling, and performance tuning for analytical workloads.
  • Experience building scalable pipelines on Azure (ADF, Synapse, or Azure Functions).
  • Understanding of data governance principles, RBAC, and metadata management.

Preferred Skills:

  • Knowledge of Medallion architecture, CDC patterns, or event-driven data processing.
  • Familiarity with Unity Catalog, Azure Purview, Databricks SQL, and data observability tools.
  • Certification: Databricks Certified Data Engineer Associate/Professional, Microsoft Azure Data Engineer.

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