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