Data Integration

4 weeks ago

Noida, India Crenovent Full time

Job Description – Data Integration & Architecture Engineer

Location:
Noida

Team:
Platform Engineering – RevAi Pro

Type:
Full-time

About Us

Crenovent Technologies is building
RevAi Pro
, a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses
Azure Fabric + PostgreSQL + pgvector
to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you'll work on the
foundational data architecture
that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a
Data Integration & Architecture Engineer
who will design and operate the pipelines that unify
CRM, billing, support, and SaaS app data
into our Azure-native data fabric. You'll own the
Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models
.

This role sits at the intersection of
data engineering and platform architecture
— perfect for someone who enjoys solving complex data puzzles and wants to grow into a
Lead Data Architect
role.

What You'll Do

  • Build ingestion pipelines
    (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into
    Azure Fabric Bronze/Silver layers
    .
  • Curate standardized models
    in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
  • Operate low-latency egress pipelines
    from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
  • Implement tenant isolation
    via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
  • Own observability & SLAs
    : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
  • Contribute to FinOps dashboards
    by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
  • Collaborate with AI engineers
    to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
  • Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We're Looking For

Must-Have Skills:

  • 2–4 years in
    data engineering / integration roles
    .
  • Hands-on with
    Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable)
    .
  • Strong SQL and
    PostgreSQL experience
    (MERGE, staging, RLS, partitioning).
  • Experience with
    CDC, batch ingestion, or event streaming
    (Airflow, dbt, Kafka, or Fabric pipelines).
  • Comfort with
    data governance concepts
    (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

  • Knowledge of
    pgvector, embeddings, or AI data models
    .
  • Prior exposure to
    multi-tenant SaaS architectures
    .
  • Experience with
    observability tooling
    (freshness checks, data quality gates, anomaly detection).
  • Familiarity with
    FinOps or cost-optimization in data pipelines
    .

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