Data Solutions Architect Lead

5 days ago

Calgary, Alberta, Canada OpsGuru Full time

At OpsGuru, we're a global engineering and consulting group with expertise in the container ecosystem, data processing, analytics, and cloud-native technologies.

We empower our customers with technology to solve their business problems and provide the tools to assure success in their digital transformation.

About the Role:

Project Delivery

The Senior Data Solutions Architect will be responsible for providing technical expertise and leadership across a range of cloud data technologies.

  • Drive tool selection, resolve complex engineering issues, and guide best practices during engagements.
  • Lead the design and implementation of data platforms to meet customers' business requirements.
  • Participate in whiteboard design sessions with internal and external team members.
  • Identify and communicate technical risks as they emerge over the course of a project.

Design and Delivery

The successful candidate will have experience designing and delivering complex ETL/ELT processes, large-scale batch and real-time stream processing solutions, and optimizing data and schemas.

  • Data Lakes using native cloud tools or leveraging 3rd party platforms (e.g., Snowflake or Databricks).
  • Ai-based solutions for NLP, speech and video recognition, anomaly and fraud detection, chatbots, etc.
  • End-to-end data solutions from ingestion pipelines, cataloging, analysis, and sharing insights (e.g., reports, dashboards, ML forecasts/predictions, etc.).
  • Migrations and transformations of data services such as relational databases, NoSQL databases, and Data Warehouses (heterogeneous and homogeneous).
  • Designing, building, training, and optimizing AI/ML solutions.

Your Skills & Experience

The ideal candidate will have 5+ years of developing code using Python, Java, or Scala languages and experience building complex data engineering pipelines and ETL/ELT tasks.

  • Experience building real-time streaming solutions leveraging technologies such as: Kafka, Kinesis, Pub/Sub messaging, event buses, or Spark Streaming.
  • Considerable experience with relational databases (e.g., Oracle, SQL Server, MySQL, Postgres, MariaDB) or managed cloud RDBMS services (e.g., Amazon Aurora, Azure SQL, GCP CloudSQL, GCP Cloud Spanner, etc.).
  • Considerable experience with NoSQL databases such as MongoDB, Cassandra, CouchDB, ElasticSearch, Neo4j, DynamoDB, BigTable, etc.
  • Experience building solutions leveraging caching systems (e.g., Redis) and object stores (e.g., Amazon S3, Amazon Glacier, etc.).
  • Experience in Analytics and BI solutions such as MicroStrategy, Tibco, Qlikview, or Tableau.

Salary

The estimated annual salary for this position is $120,000 - $180,000, depending on location and experience.

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