About Teqfocus :
At Teqfocus, we partner with global enterprises to deliver cutting-edge solutions across Cloud , Data , and Digital domains. Our team thrives on innovation, collaboration, and excellence. As a Data Architect , you will help design and implement robust, scalable data architectures across multiple cloud platforms for our clients.
Location - Hybrid - Pune / Ranchi / Bengaluru / Delhi / NCR
Role Summary :
The Data Architect will lead the design and implementation of end-to-end data solutions across multiple clouds, including AWS , Snowflake , and Databricks . You will collaborate with cross-functional teams to understand business needs, define data strategy, and ensure high-quality, scalable, and secure data systems.
Key Responsibilities :
Architectural Design
- Design enterprise-grade data architectures for large-scale systems using AWS, Snowflake, and Databricks.
- Define and document logical and physical data models.
- Select and integrate appropriate data storage, processing, and governance technologies.
Data Strategy & Governance
Establish data strategy, standards, and best practices for data management and security.Define data governance policies, including data lineage, metadata management, and quality standards.Drive data privacy and compliance initiatives (e.g., GDPR, HIPAA as applicable).Implementation Leadership
Lead and mentor data engineering teams in building ETL / ELT pipelines.Oversee migration projects from on-premises to cloud-based data platforms.Conduct performance tuning and optimization of data systems.Cross-Functional Collaboration
Work with business stakeholders to gather requirements and translate them into technical solutions.Collaborate with cloud engineers, solution architects, and data scientists.Support pre-sales teams with solution design and proposal development when required.Innovation & Continuous Improvement
Evaluate and recommend emerging data technologies.Foster a culture of continuous learning and knowledge sharing in the data engineering team.Stay up-to-date with the latest trends in multi-cloud data architecture.Requirements :
Data Architecture Expertise
10+ years of overall experience, with at least 3 years in a dedicated Data Architect role.Deep understanding of modern data architecture patterns (e.g., Data Lakehouse, Data Mesh, Data Warehousing, Streaming).Cloud Platforms
Proven experience designing and deploying solutions on AWS (e.g., S3, Glue, Redshift, Lambda).Expertise in Snowflake (data modeling, performance tuning, security features).Strong experience with Databricks (including Delta Lake, Spark jobs, MLflow integration).Data Engineering & Modeling
Proficiency in data modeling (conceptual, logical, and physical).Expertise in ETL / ELT using tools like AWS Glue, Apache Spark, or Databricks.Strong SQL skills and experience with Python or Scala for data pipelines.Security & Governance
Hands-on experience with data security and IAM on cloud platforms.Knowledge of data cataloging, lineage, and governance tools (e.g., AWS Glue Data Catalog, Alation, Collibra).Soft Skills
Excellent communication and stakeholder management skills.Ability to simplify complex technical concepts for business users.Strong leadership and mentoring experience.Nice to Have :
Certifications : AWS Certified Solutions Architect, AWS Certified Data Analytics, Snowflake SnowPro, Databricks Certified Architect.Exposure to Azure or GCP data services.Experience with orchestration tools like DBT , Airflow .Experience with data streaming technologies (e.g., Kafka , Kinesis ).Familiarity with BI tools such as Tableau and Power BI.