Hiring - Data Architect
Remote
4 months + Extension
Need immediate joiner to the project
Role Overview
- Lead the design and implementation of endtoend Microsoft Fabric data architecture.
- Drive development of a lakehouse-based data platform using Bronze, Silver, and Gold layers.
- Oversee data ingestion, transformation, and integration from multiple sources (Postgres, APIs).
- Act as a technical leader and architect, ensuring scalable, reliable, and highquality data solutions.
- Translate business requirements into data models, data products, and architecture decisions.
- Enable adoption through knowledge transfer, best practices, and reusable frameworks.
Responsibilities
Technical Leadership & Architecture
- Design endtoend data architecture in Microsoft Fabric.
- Define ingestion frameworks for:
- AutoLeap (Postgres, partner APIs)
- Establish Bronze, Silver, and Gold data layers (medallion architecture).
- Define lakehouse strategy and semantic data models.
- Set standards for:
- Change data capture (CDC) and incremental loads
- Global identifiers (customer, vehicle, store)
- Data quality, auditing, and reconciliation
Data Integration & Engineering
- Oversee development of:
- Data pipelines (Fabric Pipelines, Notebooks)
- Data staging, transformations, and conformance
- Consolidate multiple data sources (ICDB, DME) into a unified lakehouse.
- Ensure outbound data feeds meet requirements for:
- Power BI reporting
- External partners (e.g., RRD)
- Internal systems (SAP, Oracle, Business Center)
Requirements & Mapping
- Lead structured requirements gathering with stakeholders.
- Translate business requirements into:
- Canonical POS data models
- Gold layer data products
- Validate and align mappings with source systems (AutoLeap schemas).
Testing & Quality Assurance
- Define and execute:
- Data completeness and validation checks
- Reconciliation with legacy systems (ICDB/DME)
- Performance and refresh SLAs
- Develop formal:
- Test plans
- Acceptance criteria
Knowledge Transfer & Enablement
- Train and mentor internal teams by:
- Pairing during design and development
- Explaining architectural decisions
- Documenting patterns and standards
- Build and handover:
- Reusable frameworks
- Best practices for sustained operations
.
Qualifications we seek in you!
Minimum Qualifications
- Graduation: B.Tech/B.E, MBA/MCA
Preferred Skills:
Core Technical Skills
- Strong handson experience with:
- Microsoft Fabric (Lakehouse, Pipelines, Notebooks)
- Spark / PySpark
- Semantic models and Power BI integration
- Expertise in modern data architecture (lakehouse, medallion patterns).
- Experience in data migration and system-of-record transitions.
Data & Domain Expertise
- Experience with transaction-heavy systems (POS, retail, automotive, or similar).
- Strong background in:
- API-based data ingestion
- Relational databases (Postgres preferred)
- Ability to design data products for:
- Internal analytics
- External data sharing with partners
Leadership & Delivery Skills
- Ability to work in ambiguity and define clear execution paths.
- Experience acting as:
- Solution Architect
- Technical Lead
- Mentor and trainer
- Strong stakeholder management and communication with:
- Engineering teams
- Business stakeholders
- Analytics users