Data Architect

Requirements

Job Title: Data Architect

Experience: 10+
Years (can be adjusted)
Location: [Onsite / Hybrid / Remote]
Employment Type: Full-time

Job Summary

We are looking for an experienced Data Architect to design, build,
and govern enterprise-level data architecture that supports analytics,
reporting, and advanced data use cases. The role requires close collaboration
with business, engineering, and analytics teams to ensure scalable, secure, and
high-performing data solutions aligned with organizational goals.

Key Responsibilities

Data Architecture & Strategy

·       Define and maintain enterprise data
architecture, standards, and best practices.

·       Design end-to-end data solutions including data ingestion, storage, processing, and consumption layers.

·       Create conceptual, logical, and
physical data models.

Data Platforms & Integration

·       Architect and oversee data lakes,
data warehouses, and lakehouse solutions.

·       Design data integration patterns for
batch and real-time processing.

·       Ensure seamless integration across
multiple source systems and downstream consumers.

Cloud & Technology Leadership

·       Lead data architecture on cloud
platforms (AWS / Azure / GCP).

·       Evaluate and recommend tools and
technologies (ETL, orchestration, streaming, BI).

·       Optimize performance, scalability, and
cost efficiency of data platforms.

Governance, Security & Quality

·       Define and enforce data governance,
lineage, metadata, and quality standards.

·       Ensure compliance with security,
privacy, and regulatory requirements.

·       Collaborate with security teams on
data access and protection strategies.

Stakeholder Collaboration & Leadership

·       Work with business leaders to
translate requirements into data solutions.

·       Guide and mentor data engineers and
analysts on architecture best practices.

·       Participate in architecture review
boards and technical decision-making.

Required Skills & Qualifications

Technical Skills

·       Strong expertise in data modeling (ER, dimensional, star/snowflake).

·       Advanced SQL and database
design experience.

·       Hands-on experience with data
warehousing and data lake architectures.

·       Proficiency in cloud data services (e.g., Azure Synapse, AWS Redshift, Snowflake, BigQuery).

·       Experience with ETL/ELT tools (ADF, Informatica, Glue, dbt, etc.).

·       Knowledge of streaming platforms (Kafka, Kinesis, Event Hubs).

Architecture & Frameworks

·       Experience with data architecture
frameworks (TOGAF, DAMA-DMBOK preferred).

·       Strong
understanding of metadata management and data lineage.

·       Tera Data

Soft Skills

·       Strong communication and stakeholder
management skills.

·       Ability to influence technical and
non-technical audiences.

·       Strategic thinking with hands-on
problem-solving ability.

Education

·       Bachelor’s or Master’s degree in Computer
Science, Engineering, or related field.

Nice to Have

·       Cloud certifications (AWS / Azure /
GCP).

·       Experience with BI tools (Power
BI, Tableau, Looker).

·       Exposure to ML/AI data platforms.

·       Experience in regulated industries
(banking, healthcare, etc.).

·       Experience in Teradata