Job Description

Job Summary:

We are looking for an experienced

Data Architect

with a proven track record in designing and implementing

modern, scalable data platforms

across multiple technologies, such as

Azure and AWS

. The ideal candidate will have hands-on experience with

Microsoft Fabric

and other modern data architectures (e.g., Data Lakehouse, Delta Lake). As a Data Architect, you will be responsible for shaping data strategies, ensuring best practices in data engineering, and driving data solutions that support advanced analytics and executive decision-making.

Key Responsibilities:

Data Architecture & Design:

Design

end-to-end modern data architectures

leveraging technologies such as

Microsoft Fabric, Azure Synapse, Databricks, and AWS data services

. Develop robust data pipelines and frameworks to enable

data ingestion, transformation, and consumption

in a scalable and secure manner. Architect

medallion-style data models (bronze, silver, gold layers)

for structured and unstructured data to support analytics and AI use cases. Define and implement

best practices

for data modeling, data governance, and data security across the enterprise data platform. Evaluate and recommend the

right technology stacks

for modern data solutions (Lakehouse, Warehouse, Delta Lake, etc.).

Collaboration & Leadership:

Work closely with business stakeholders, data engineers, BI developers, and AI specialists to ensure data solutions meet business requirements. Serve as a

trusted advisor

to project teams, providing strategic guidance and oversight for data architecture decisions. Provide mentorship and knowledge sharing within the team on best practices and new trends in data engineering and architecture.

Data Platform Enablement & Optimization:

Drive the adoption and optimization of

Data Platform

and related data services, ensuring performance, reliability, and security standards are met. Identify data performance bottlenecks and implement

scalability strategies

for high-volume data scenarios. Support data integration initiatives, including API integrations, external data feeds, and hybrid environments.

Documentation & Standards:

Develop and maintain

comprehensive architecture documentation

, including data flow diagrams, integration blueprints, and data governance policies. Establish and enforce

data quality standards and data lineage frameworks

to support enterprise data governance.

Key Skills and Qualifications:

7+ years of experience

in data architecture, data engineering, or similar roles. Hands-on experience with

MS Fabric (OneLake, Direct Lake, Data Factory), Azure Synapse, Databricks, and AWS data services

(e.g., Redshift, Glue, S3). Strong knowledge of

modern data platforms

(Lakehouse, Medallion architecture, Delta Lake). Expertise in

data modeling, data governance, and data security best practices

. Familiarity with

data pipeline orchestration tools (Azure Data Factory, Airflow, etc.)

and real-time streaming frameworks (e.g., Kafka). Proven ability to

work in multi-cloud environments

(Azure, AWS) and to select appropriate tools based on business needs. Strong understanding of

enterprise BI tools

(e.g., Power BI, Tableau) and how they integrate with modern data platforms. Excellent communication skills and the ability to

engage with both technical and business stakeholders

.

Preferred Attributes:

Certifications in

Azure Data Engineer, AWS Data Analytics, or similar

. Experience working on

executive-level dashboards and AI-enhanced data solutions

. Bachelors or Masters degree in

Computer Science, Data Engineering, or a related field

.

Remuneration:

Competitive benefits and growth opportunities in a rapidly evolving data environment.

How to Apply:

Interested candidates should send their CV and a brief cover note highlighting their Power BI experience and dashboard portfolio to

hr@iq-data.com

. We thank all applicants for their interest; only those selected for an interview will be contacted.