Data Architect
4 weeks ago
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 PerformanceIf 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.
SKILLS
Must have
- 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
• Capital Market exp
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