We are looking for a highly experienced Senior CRM Data Integration Architect to lead end-to-end data integration projects for customer lifecycle marketing platforms. The ideal candidate will have strong expertise in data engineering, cloud data warehouses, event streaming, APIs, and CRM/Marketing Automation Platform (MAP) integrations.

The candidate will be responsible for designing scalable data integration architectures, leading technical discovery, defining identity and data models, and guiding engineering teams through implementation and quality assurance.

Key Responsibilities

- Lead technical discovery across data warehouses, Kafka, APIs, microservices, and legacy systems.
- Design data integration architecture, source-to-target mapping, identity models, and event/attribute taxonomies.
- Develop integration solutions using batch processing, real-time streaming, and reverse ETL.
- Design and implement integrations between data platforms and marketing automation tools.
- Manage data migration, historical backfills, reconciliation, implementation QA, and cutover planning.
- Define consent, subscription, data suppression, and privacy management frameworks.
- Review API integrations, data payloads, error handling, retries, and deduplication mechanisms.
- Prepare detailed architecture documents and implementation-ready technical specifications.
- Collaborate with client engineering teams and senior technical stakeholders.
- Contribute to presales, solution estimation, and reusable integration frameworks.

Mandatory Key Skills
- Experience: 7+ years in Data Engineering or Integration Architecture, including 2+ years in customer/marketing data systems.
- Databricks: Delta Lake, Spark SQL/PySpark, Workflows, Unity Catalog, and data pipelines.
- Snowflake: SQL, data modelling, Streams/Tasks, Snowpipe, and performance optimisation.
- Apache Kafka: Topics, partitions, consumers,



schema registry, CDC, and production streaming integrations.
- CRM/Marketing Automation Platforms: Hands-on integration experience with at least one of Braze, Salesforce Marketing Cloud (SFMC), Customer.io, Iterable, or Klaviyo.
- API Integration: REST APIs, webhooks, authentication, pagination, retries, and error handling.
- Programming Languages: Strong Python and SQL skills.
- Data Modelling: Identity resolution and multi-entity, multi-brand, or multi-tenant data architecture.
- Consent Management: Experience with marketing and transactional consent/subscription models.
- Client Management: Ability to conduct technical discovery, prepare architecture blueprints, and communicate with client engineering teams.

Good-to-Have Skills
- AWS: Lambda, S3, Glue, Step Functions, EventBridge, and IAM.
- Salesforce Data Cloud and Sales/Service Cloud.
- CDP and reverse ETL tools: Segment, mParticle, Hightouch, or Census.
- Middleware/iPaaS: Workato, MuleSoft, or Boomi.
- JavaScript/TypeScript, dbt, and GDPR/CCPA compliance exposure.

Pay: Up to ₹2,800,000.00 per year

Advantages

- Work from home

Application Question(s):
- How many years of experience do you have in Data Engineering or Integration Architecture?
- Do you have at least 2 years of experience working with customer or marketing data systems?
- Do you have hands-on production experience with all three: Databricks, Snowflake, and Apache Kafka?
- Have you personally delivered an end-to-end integration from a data warehouse or streaming platform to a marketing automation platform?
- Which marketing automation platforms have you integrated with?

Braze

Salesforce Marketing Cloud (SFMC)

Customer.io

Iterable

Klaviyo

- Do you have strong hands-on experience with Python and SQL?
- official notice period?
- current ctc , expected ctc?

Experience:
- Data Engineering: 7 years (Required)

Work Location: In person

📌 Senior CRM Data Integration Architect (Ahmedabad)
🏢 Employee Hub
📍 Ahmedabad