Note: The job is a remote job and is open to candidates in USA. ITMC Systems, Inc is seeking a Canoe or Addepar Platform Data / Integration Engineer to support and scale its alternative investment data ecosystem. The role focuses on data integration, quality, automation, and production support, including ingesting, validating, transforming, and delivering investment data to downstream platforms such as Addepar, Snowflake, reporting tools, portfolio systems, and accounting platforms.
Responsibilities
- Canoe Data / Integration Engineer to support and scale the firm’s alternative investment data ecosystem
- This role is responsible for technical enablement, data integration, data quality, automation, and production support of Canoe-related workflows within the firm
- The role will work at the intersection of technology, investment operations, portfolio management, client reporting, enterprise data, and vendor platforms
- The successful candidate will help ensure that alternative investment documents and data are accurately ingested, validated, transformed, integrated, and delivered to downstream platforms such as Addepar, Snowflake, reporting tools, portfolio systems, accounting platforms, and analytics environments
Skills
- Bachelor's degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field
- 5+ years of experience in data engineering, data analysis, platform integration, investment operations technology, financial systems support, or enterprise data operations
- Experience with Canoe or comparable alternative investment document automation, data extraction, data management, or investment operations platforms
- Strong understanding of alternative investment workflows, including capital calls, distributions, statements, valuations, commitments, contributions, withdrawals, fund metadata, investor entities, and client reporting requirements
- Experience supporting data integrations, data pipelines, data feeds, file-based transfers, API-based integrations, or vendor platform connectivity
- Intermediate to advanced SQL skills, including querying, joins, aggregations, data profiling, exception identification, validation, and reconciliation
- Experience analyzing and resolving data quality issues across investment, accounting, reporting, portfolio, transaction, position, and reference datasets
- Familiarity with wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting
- Experience translating business requirements into technical specifications, data mappings, validation rules, reconciliation procedures, and operating documentation
- Strong analytical, problem-solving, documentation, communication, and stakeholder-management skills
- Ability to work effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for data accuracy and reliability
- Direct hands-on experience with Canoe, including document collection workflows, extraction review, validation queues, exception management, data delivery, and platform support
- Experience integrating Canoe with Addepar, Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, accounting systems, client portals, or portfolio management platforms
- Experience using APIs, webhooks, ETL/ELT tools, orchestration platforms, secure file transfers, and automation scripts to support platform integrations
- Experience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, quality checks, and consumption-layer design
- Experience with Python, dbt, Airflow, Azure Data Factory, AWS Glue, Fivetran, Matillion, or comparable data engineering tools
- Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance
- Experience developing dashboards, operational metrics, exception reports, reconciliation tools, or data quality monitoring processes
- Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, privacy, and operational risk requirements
- Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures
- Ability to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions
Benefits
- Remote work arrangement
Company Overview
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