Job Title: Data Architect
Location: Hyderabad,Chennai,Bangalore
Experience: 5 - 15 Years
Job
Title: Data Architect
Location: Hyderabad, Chennai & Bangalore
Exprience: 10+ Years
Job Summary
We
are seeking a highly experienced and strategic Data Architect to lead the
design and implementation of robust data architecture solutions. The ideal
candidate will have a deep understanding of data modelling, governance,
integration, and analytics platforms. As a Data Architect, you will play a
crucial role in shaping the data landscape across the organization, ensuring
data availability, consistency, security, and quality.
Mandatory Skills
·
Enterprise
data architecture and modeling
·
Cloud
data platforms (Azure, AWS, GCP)
·
Data
warehousing and lakehouse architecture
·
Data
governance and compliance frameworks
·
ETL/ELT
design and orchestration
·
Master
Data Management (MDM)
·
Databricks
architecture and implementation
Key
Responsibilities
·
Lead,
define, and implement end-to-end modern data platforms on public cloud using
Databricks
·
Design
and manage scalable data models and storage solutions
·
Collaborate
with enterprise architects, data architects, ETL developers & engineers,
data scientists, and information designers to define required data structures,
formats, pipelines, metadata, and workload orchestration capabilities
·
Establish
data standards, governance policies, and best practices
·
Oversee
the integration of new data technologies and tools
·
Lead
the development of data pipelines, marts, and lakes
·
Ensure
data solutions are compliant with security and regulatory standards
·
Address
aspects such as data privacy & security, data ingestion & processing,
data storage & compute, analytical & operational consumption, data
modeling, data virtualization, self-service data preparation & analytics,
AI enablement, and API integrations
·
Mentor
data engineers and developers on best practices
Qualifications
·
Bachelor’s
or Master’s degree in Computer Science, Engineering, or a related field
·
Relevant
certifications in cloud platforms, data architecture, or governance
Technical
Skills
·
Data
Modelling: Conceptual, Logical, Physical modelling (ERwin, Power Designer,
etc.)
·
Cloud:
Azure (ADF, Synapse, Databricks), AWS (Redshift, Glue), GCP (Big Query)
·
Databases:
SQL Server, Oracle, PostgreSQL, NoSQL (MongoDB, Cassandra)
·
Data
Integration: Informatica, Talend, Apache NiFi
·
Big
Data: Hadoop, Spark, Kafka
·
Governance
Tools: Collibra, Alation, Azure Purview
·
Scripting:
Python, SQL, Shell
·
DevOps/DataOps
practices and CI/CD tools
Soft
Skills
·
Strong
leadership and stakeholder management
·
Excellent
communication and documentation skills
·
Strategic
thinking with problem-solving ability
·
Collaborative
and adaptive in cross-functional teams
Good
to Have
·
Experience
in AI/ML data lifecycle support
·
Exposure
to industry data standards and frameworks (TOGAF, DAMA-DMBOK)
·
Experience
with real-time analytics and streaming data solutions
Work
Experience
·
Minimum
10 years in data engineering, architecture, or related roles
·
At
least 5 years of hands-on experience in designing data platforms on Azure
·
Demonstrated
knowledge of 2 full project cycles using Databricks as an architect
·
Experience
supporting and working with cross-functional teams in a dynamic environment
·
Advanced
working SQL knowledge and experience working with relational databases and
unstructured datasets
·
Experience
with stream-processing systems such as Storm, Spark-Streaming
Compensation
& Benefits
·
Competitive
salary and annual performance-based bonuses
·
Comprehensive
health and optional Parental insurance.
·
Retirement
savings plans and tax savings plans.
·
Work-Life
Balance: Flexible work hours
Key
Result Areas (KRAs)
·
Effective
implementation of scalable and secure data architecture
·
Governance
and compliance adherence
·
Standardization
and optimization of data assets
·
Enablement
of self-service analytics and data democratization
Key
Performance Indicators (KPIs)
·
Architecture
scalability and reusability metrics
·
Time-to-delivery
for data initiatives
·
Data
quality and integrity benchmarks
·
Compliance
audit outcomes
·
Satisfaction
ratings from business stakeholders
Contact: hr@bigtappanalytics.com