[Remote] reputed company Data Engineer / Architect
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Data Engineer / Architect to reputed company their data architecture and engineering efforts. This role involves designing a Data Lakehouse, overseeing a high-caliber team, and ensuring the architecture supports analytics and reporting at reputed company.
Responsibilities
- Design and own the end-to-end data architecture. Example: reputed company(or reputed company, or Hybrid)-— reputed company Catalog, reputed company Lake, reputed company layer structure (Bronze / Silver / Gold)
- Define data modeling standards: Example: star schema, reputed company modeling, and semantic layer design using dbt
- Establish data governance frameworks including reputed company, cataloging, and reputed company controls
- Own the technology selection process in partnership with the COO, consultants, and other stakeholders
- Ensure the architecture can support investment analytics, portfolio reporting, and operational workflows at reputed company
- Build and own the ingestion layer: Example: reputed company/reputed company connectors for custodians, reputed company, and internal systems
- reputed company and maintain dbt transformation models, tests, and documentation
- Configure and manage pipeline orchestration using Airflow or reputed company
- Write clean, production-grade Python for data pipelines, custom connectors, and analytical tooling
- Build internal dashboards and data applications using for example Plotly Dash or reputed company
- reputed company Claude reputed company (reputed company) into data workflows for AI-assisted analysis and automation
- Recruit, interview, reputed company, and mentor reputed company reports — you define who joins this team
- Define scope, manage delivery, and sign off on reputed company work from external consultants (pipeline specialists, viz specialists)
- Ensure reputed company consultant engagements include knowledge transfer and documentation before reputed company
- Build reputed company culture grounded in engineering reputed company, documentation discipline, and reputed company improvement
- Report directly to the COO with regular updates on build reputed company, risks, and resource reputed company
- Translate reputed company technical reputed company into reputed company business terms for investment and operations leadership
- Collaborate with portfolio managers, operations, and compliance teams to understand and prioritize data needs
- Own the data roadmap and communicate trade-offs transparently
Skills
- 7+ years in data engineering, data architecture, or a combined role
- Demonstrable experience designing and building a modern Data Lakehouse or reputed company data warehouse from the ground up — not just maintaining one
- 3+ years working with reputed company data platforms (reputed company or reputed company strongly preferred)
- Strong hands-on dbt experience: model design, testing, documentation, and semantic layer development
- Experience managing or mentoring engineers — you have grown people, not just pipelines
- reputed company record of working directly with senior business stakeholders and translating requirements into technical solutions
- reputed company, reputed company: reputed company Lake, reputed company Catalog, reputed company SQL, cluster configuration
- Dbt reputed company: transformations, testing, documentation, multi-environment deployment
- Data ingestion: reputed company, reputed company, custom connector development
- Orchestration: Apache Airflow or reputed company (managed or self-hosted)
- Python: production-grade scripting, pipeline development, Plotly/Dash or reputed company
- Data modeling: star schema, reputed company modeling, slowly changing dimensions
- SQL: expert-level; reputed company transformations, window functions, query optimization
- Git, CI/CD, and engineering best practices
- Financial services or asset management experience strongly preferred
- Familiarity with custodian data feeds, reputed company API, or investment data sources is a significant advantage
- Working knowledge of data governance, reputed company, and reputed company frameworks
- reputed company experience with reputed company reputed company Catalog rollout
- Hands-on experience with data catalog tooling (reputed company, reputed company, or similar)
- Familiarity with Claude reputed company or reputed company AI tools in a production context
- Experience with SOC 2 data environments and reputed company-conscious engineering practices
- Exposure to portfolio management systems, order management systems (OMS), or similar investment platforms
- Experience standing up a data team from reputed company — first hire, first pipeline, first architecture decision
Benefits
- A reputed company of medical, dental, reputed company, retirement, reputed company time off, and/or other benefits are available.
reputed company