Data Architect

Job Description

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 (., Azure Synapse, AWS Redshift, Snowflake, BigQuery).

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

·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, .

·Experience in Teradata