Data Architect

Data Architect (Azure) with preferable Teradata Experience 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