Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Data Architect

Job

Rivago infotech inc

Woodbridge Township, NJ (In Person)

Full-Time

Posted 6 days ago (Updated 3 days ago) • Actively hiring

Expires 7/1/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Responsibilities:

Define and maintain reference architectures (Lakehouse, CDC, streaming) and domain data models (conceptual, logical, physical).

Create and enforce data standards:

naming conventions, data types, modeling practices, semantic definitions (aligned to business glossaries).

Establish metadata operating model:

ownership, stewardship, processes for Catalog, Glossary, Data Dictionary, and Data Lineage. Integrate lineage capture across pipelines (ETL/ELT/streaming), BI layers, and ML workflows. Architect cross-platform data flows across Databricks, Oracle/SQL Server, Snowflake and metadata tools.

Define IAM models:

RBAC/ABAC, SSO/federation, SCIM provisioning; directory-driven entitlements and periodic access reviews. Define catalog strategy (e.g., Unity Catalog/Purview/Collibra/Alation) and integrate with CI/CD for automated registration and lineage. Design reusable pipeline frameworks with configuration-driven IO, logging, metrics, retry/error handling, and data quality checks.

Skills:

Data Modeling:

Dimensional (star/snowflake), 3NF, Data Vault, business glossary-to-model mapping, SCD types, time-series/event modeling.

Metadata & Governance:

Practical use and integration of Data Catalogs, Lineage, Oracle/SQL Server (data modeling, migration/CDC patterns). Snowflake (roles, warehouses, performance tuning, tasks/streams, dynamic tables). Databricks/Spark (SQL/PySpark, Structured Streaming, Delta Lake; Unity Catalog).

Security & Compliance:

IAM/RBAC, masking, tokenization, encryption;

PCI/AML/KYC/GDPR/DPDP

awareness.

Integration & Orchestration:

Databricks Workflows, Airflow/ADF, API integrations with catalog tools; schema registry Exceptional interpersonal and collaboration skills within a team environment