Senior Cloud Data Architect

Há 5 dias

Brasília, Distrito Federal, Brasil Phdata Tempo inteiro
About the Role

At phData, we're revolutionizing the way our clients harness data and artificial intelligence. As a premier services provider specializing in data application and data platform services, we partner with leading technology companies across the modern data stack to deliver cutting-edge solutions. We're passionate about helping global enterprises overcome their toughest challenges by building AI solutions and data applications and then getting these solutions into production.

Our Culture

We're a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

What We're Looking For

We're seeking a highly skilled Senior Cloud Data Architect to join our team. As a key member of our data platform services team, you'll be responsible for operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.

Responsibilities:
  • Operate and manage modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
  • Demonstrate clear ownership of multiple simultaneous customer accounts across a variety of technical stacks and act as a technical leader.
  • Proactively identify and articulate best practices and improvements to customers on how to best leverage their Cloud Data Platform.
  • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customer's data platform.
  • Delegate to and coach Engineers and ensure successful and timely delivery of these Epics.
  • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction.
  • Continually hunt for ways to automate and optimize existing processes.
Requirements:
  • Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries.
  • Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift).
  • Expertise with cloud-native data technologies in AWS or Azure.
  • Production support experience in large enterprise environment supporting cloud data platforms and a variety of cloud data technologies (AWS Services/S3, Aurora Athena Redshift, Sagemaker, Azure DevOps/SQL, Azure Data Factory, etc.....)
  • Proven experience learning new technology stacks and training team members.
  • Professional track record of creating, challenging, and improving processes and procedures.
  • Strong troubleshooting and performance tuning skills including database administration.
  • Create and deliver detailed presentations.
  • Client-facing written and verbal communication skills and experience.
Preferred Experience:
  • Production / database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks.
  • Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems.
  • Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory Google DataProc or others.
  • Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi.
  • Working experience with infrastructure as code using Terraform or Cloud Formation.
  • Strong expertise of scripting language to automate repetitive tasks (preferred Python).
  • Well-versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, Liquibase.
  • Experience as a technical team lead.
  • Bachelor's degree in Computer Science or a related field.

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