Senior Data Architect

TymblHub; Hinoba-an; Sur place; PHP 1 200 000 - 1 800 000; Plein temps

Résumé du poste

V2 Solutions in the Philippines seeks a Senior Architect for Databricks to lead modern data warehouse initiatives on AWS/Azure stacks. You will design scalable data pipelines, ensure governance, and collaborate with DW/BI leads to meet reporting needs.

The ideal candidate has 12+ years in IT with 6+ years in data warehouse/ETL, strong SQL/Python/Spark skills, and practical Databricks expertise; cloud infra and governance are valued. This is a senior, hands-on role.

Qualifications

• 12+ years of IT experience with 6+ years in Data warehouse/ETL projects.
• Deep understanding of Star and Snowflake dimensional modelling.
• Experience with Databricks Data & AI platform and Delta Lake architecture.
• Hands-on SQL, Python and Spark (PySpark) skills.
• Cloud platform experience (AWS/Azure/GCP) and data governance awareness.

Responsabilités

• Develop modern data warehouse solutions using Databricks on AWS/Azure stack.
• Collaborate with DW/BI leads to define ETL pipelines and reporting models.
• Triage issues, fix pipeline gaps, and optimize performance.
• Lead technical discussions with client architects and team members.
• Orchestrate data pipelines with Airflow and ensure scalable deployments.

Connaissances

Databricks architecture

Python

SQL

Spark (PySpark)

Data modeling (Star/Snowflake)

AWS/Azure/GCP

ETL design

Airflow

DevOps practices

Communication & presentation

Formation

Bachelor's Degree in Computer Science

Master's degree in Computer Science

Outils

Airflow

Kafka

Terraform

CircleCI

Git

Hadoop

MongoDB

Neo4J

DBT

Description du poste

Senior Architect - Databricks

Designation: Senior Manager (L5) Profile Summary We are seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data's full potential.

Key Responsibilities

Developing Modern Data Warehouse solutions using Databricks and AWS / Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaboration with DW/BI leads to understanding new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow

Requirements

Bachelor's and/or master's degree in computer science or equivalent experience. Must have total 12+ yrs. of IT experience and 6+ years experience in Data warehouse/ETL projects. Deep understanding of Star and Snowflake dimensional modelling. Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL , Python and Spark (PySpark) Candidate must have experience in AWS / Azure stack Desirable to have ETL with batch and streaming (Kinesis). Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data. Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT . Proficiency in RDBMS, complex SQL , PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Should have experience working in Agile methodology. 12+ Years of experience in Data & Analytics with Good Communication and presentations skills. At least 4 years experience in Databricks implementations, 2 large scale data warehouse end-to- end implementation experience. Must have Databricks certified architect. Proficiency in SQL and experience with scripting languages (e.g., Python , spark, Py spark) for data manipulation and automation. Solid understanding of cloud platforms ( AWS , Azure , GCP ) and their integration with Databricks. Familiarity with data governance and data management practices. exposure to Data sharing, unity catalog, DBT , replication tools, performance tuning will be added advantage / must have skills.