Data Architect

6 days ago


Bengaluru, Karnataka, India Trianz Full time
Job Title: Data Architect

Trianz is a leading-edge technology platforms and services company that accelerates digital transformations at Fortune 100 and emerging companies worldwide in data & analytics, digital experiences, cloud infrastructure, and security.

Job Responsibilities:
  • Architect secure, scalable, highly performant data engineering and management solutions, including data warehouses, data lake, ELT / ETL and real-time data engineering / pipeline solutions.
  • Support Principal Data Architect in defining and maintaining Practice reference data engineering and data management architectures.
  • Design and manage scalable end-to-end data solutions leveraging native Databricks capabilities including Data Engineering – Delta Live Tables, Apache Spark, Structured Streaming, Notebooks, Git CI/CD, Databricks' supported file types, Libraries.
  • Data Warehousing – Databricks SQL, best practice data modeling.
  • Delta Lake – Delta Lake + Delta Live tables, incremental and streaming workloads, table history, file management, API utilization.
  • Databricks Data Unity Catalog – access control, lineage, Delta Sharing, identity management.
  • Competently leverage data-related cloud platform (AWS or Azure or GCP) capabilities to architect and develop end-to-end data engineering and data management solutions.
  • Regular collaboration and partnership with clients to understand their challenges and needs then translate requirements into data solutions that drive customer value.
  • Support proposal development.
Requirements:
  • 12+ years hands-on data solution architecture and implementation experience on modern cloud platforms (AWS preferred) including microservice and event-driven architectures.
  • Databricks Professional Data Engineer certification.
  • Databricks Platform Architect accreditation (AWS or Azure).
  • Databricks Platform Administrator accreditation.
  • Hands-on experience with Databricks Lakehouse implementations, Delta Live Tables and building scalable data pipelines including real-time (Kafka, Kinesis) in addition to Databricks' Structured Streaming.
  • Demonstrated, holistic experience and competence with Databricks concepts including Delta tables, Apache Spark, Structured Streaming, Notebooks, Git CI/CD, Libraries Databricks SQL.
  • An architectural certification on either AWS, Azure or GCP.
  • Experience with ML orchestration tools such as MLflow and Kubeflow.
  • Containerization proficiency (Docker, Kubernetes) to deploy data pipelines and models.
  • Practical experience with end-to-end data engineering and data management supporting functions including data modeling (conceptual, logical & physical), BI & analytics, data governance, data quality, data security / privacy / compliance, IAM, performance optimization.
  • Advanced SQL and data profiling.
  • Python or Scala.
  • Strong communication skills with the ability to convey technical concepts to non-technical users.
  • Strong, self-management skills demonstrating ability to multitask and self-manage goals and activities.

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