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