Data Architect

4 days ago

Pune, Maharashtra, India DATAECONOMY Full time ₹ 15,00,000 - ₹ 20,00,000 per year
About the Role

We are looking for an experienced Data Architect to lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have a strong background in data architecture, cloud platforms, and modern data frameworks, with the ability to guide clients and teams in building next-generation data platforms.

Key Responsibilities
  • Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.

  • Define and implement data strategies, governance, and architecture best practices aligned to business needs.

  • Architect and optimize data pipelines, ETL/ELT frameworks, and real-time data processing solutions.

  • Provide technical leadership for building data lakes, warehouses, and advanced analytics platforms.

  • Collaborate with business stakeholders, product owners, and engineering teams to translate requirements into scalable solutions.

  • Evaluate and recommend tools, frameworks, and cloud-native services for data integration, storage, and consumption.

  • Ensure data security, compliance, and governance practices are embedded in all solutions.

  • Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.

  • Act as a trusted client advisor by presenting solution designs, conducting workshops, and driving architecture discussions.

Requirements

Required Skills & Experience

  • 15–22 years of IT experience, with a minimum of 5+ years in data architecture roles.

  • Strong expertise in data processing frameworks and ETL/ELT pipeline development.

  • Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.

  • Hands-on expertise in data integration, real-time streaming, and API-based data access.

  • Proficiency in data modelling (structured, semi-structured, and unstructured).

  • Deep understanding of data lakes, data warehouses, and modern data architecture patterns (data mesh, lakehouse, etc.).

  • Experience with tools such as Apache Airflow, AWS Glue, Databricks, Azure Synapse, Redshift, or equivalent.

  • Knowledge of data security, compliance, and governance in large-scale enterprise environments.

  • Excellent leadership, stakeholder management, and communication skills with experience in client-facing roles.

Good to Have
  • Exposure to AI/ML data pipelines and advanced analytics platforms.

  • Experience in multi-cloud environments and hybrid data architectures.

  • Knowledge of emerging trends in data observability, data fabric, and metadata management.
BenefitsStandard Company Benefits
Why Join Us?
  • Opportunity to work on cutting-edge enterprise data transformation programs.

  • Collaborate with global clients across diverse industries.

  • Be a thought leader and drive innovation in modern data architecture.

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