Data Integration Engineer (Azure Fabric + CRM Integrations)

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About Crenovent Technologies

RevAi Pro

Senior Data Integration Engineer

Role Overview

Azure Fabric (OneLake, Data Factory, Synapse-style pipelines)

hands-on, architecture + build role

Key Responsibilities

1. Data Integration & Pipelines

• Design and implement

  data ingestion pipelines

  from Salesforce, Dynamics 365, and HubSpot into Azure Fabric.
• Build

  ETL/ELT workflows

  using Azure Data Factory, Fabric pipelines, and Python/SQL.
• Ensure

  real-time and batch sync

  options for CRM objects (Leads, Accounts, Opportunities, Forecasts, Contracts).

1. Schema & Mapping

• Map CRM fields to RevAi Pro’s

  standardized schema (50+ fields across industries)

  .
• Maintain schema consistency across SaaS, Banking, Insurance, and E-commerce use cases.
• Implement data transformation, validation, and enrichment logic.

1. Data Governance & Security

• Implement

  multi-tenant isolation

  policies in Fabric (Purview, RBAC, field-level masking).
• Ensure

  PII compliance, GDPR, SOC2 readiness

  .
• Build audit logs, lineage tracking, and monitoring dashboards.

1. Performance & Reliability

• Optimize pipeline performance (latency, refresh frequency, cost efficiency).
• Implement

  autoscaling, retry logic, error handling

  in pipelines.
• Work with DevOps to set up CI/CD for Fabric integrations.

1. Collaboration

• Work with

  RevOps SMEs

  to validate business logic for CRM fields.
• Partner with AI/ML engineers to expose clean data to agents and GenAI models.
• Collaborate with frontend/backend developers to provide APIs for RevAi Pro modules.

Required Skills & Experience

• 3+ years

  in Data Engineering / Integration roles.
• Strong expertise in

  Microsoft Azure Fabric

  , including:

• OneLake

  ,

  Data Factory

  ,

  Synapse pipelines

  ,

  Power Query

  .
• Hands-on experience with

  CRM APIs & data models

  : Salesforce, Dynamics 365, HubSpot.
• Strong SQL and Python for data transformations.
• Experience with

  ETL/ELT workflows

  , schema mapping, and multi-tenant SaaS data handling.
• Knowledge of

  data governance tools (Azure Purview, RBAC, PII controls)

  .
• Strong grasp of

  cloud security & compliance (GDPR, SOC2, HIPAA optional)

  .

Preferred (Nice to Have)

• Prior experience building integrations for

  Revenue Operations, Sales, or CRM platforms

  .
• Knowledge of

  middleware

  (MuleSoft, Boomi, Workato, Azure Logic Apps).
• Familiarity with

  AI/ML data pipelines

  .
• Experience with

  multi-cloud integrations (AWS, GCP)

  .
• Understanding of

  business RevOps metrics

  (pipeline, forecast, quota, comp plans).

Soft Skills

• Strong ownership and problem-solving ability.
• Ability to translate business needs (RevOps fields) into technical data pipelines.
• Collaborative mindset with cross-functional teams.
• Comfortable working in a fast-paced

  startup environment

  .