Experience
5 - 10 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Data Architect
Job Type
Not specified
Job Description
Job_Description
Job Title: Data Architect
Experience Level: 15 \- 20 years
Location: Hyderabad
Experience Level: 15 \- 20 years
Location: Hyderabad
Qualification: BTech\/MTech\/MCA
Mode of Work: Hybrid
Mode of Work: Hybrid
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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
- 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 architecture 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.
Benefits- Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
- Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
- Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
- Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
- Generous Leave Policy:
21 days of annual leave, in addition to 10 company\-declared holidays.
- Employee Well\-being Spaces:
Access to a dedicated break\-out area with round\-the\-clock refreshments for relaxation and rejuvenation.
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