Data Architect

4 weeks ago

Toronto, United States Luxoft USA Inc Full time
  • Project Description:Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments.
    Client attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:
    Diverse and inspiring colleagues and approachable leaders
    Stimulating work in a fast-paced, intellectually challenging environment
    Accelerated exposure and responsibility
    Global career development opportunities
    Being motivated every day by important social purpose and unshakable principles
    A deeply rooted culture of Integrity, Partnership and High Performance
    If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.
  • Responsibilities: Manage timelines/deliverables within the team towards the successful delivery of projects.
    Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
    Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
    Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
  • Mandatory Skills Description: Proven experience as a Data Architects 7+ years
    Experience with designing the vision and blueprint of the organization's data framework
    Concepts: Data Mesh, Data Product - Basic
    Data Pipelines: PySpark, Hudi, Iceberg, Airflow, EMR - Expert
    Data Operations: Operational Excellence, monitoring, troubleshooting - Expert
    Data Quality: Great Expectations, AWS Glue DQ, Deequ - Expert
    Entitlements: AWS Lakeformation - Expert
    Infrastructure: AWS Data Eng. Services (Glue, EMR, Athena etc.), AWS Compute Services (EC2, Lambda), AWS Storage Service (S3), cross-account IAM, RAM, MWAA, Step Functions, etc. - Knowledge
    DevOps: Terraform, Git Actions - Expert
    Metadata: Neptune, OpenLineage, Angular, DataZone - Knowledge
    Consumption: AWS Athena, Trino - Expert
    Other Tools: JupyterLab, Databricks - Good to have
  • Nice-to-Have Skills Description: Capital Market exp

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