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Dat Architect (Strategic)

Robert Bosch Engineering and Business Solutions Private Limited

10 - 16 years

20 - 25 Lacs

Hosur Bengaluru

Posted:7 hours ago| Platform:

Apply

Skills Required

Computer science Data modeling Postgresql MySQL Data quality Informatica Apache Business intelligence Monitoring SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

: Data Architect

Location

: Bangalore / Hyderabad / Pune / Coimbatore

Position Overview

We are seeking an experienced

Data Architect

to design, implement, and optimize cutting-edge data solutions with a focus on

Big Data

technologies. This role will involve creating robust and scalable data architectures to support analytics, AI, and business intelligence initiatives. The ideal candidate will have deep expertise in data modeling, integration, governance, and advanced tools and frameworks used in Big Data environments.

Key Responsibilities

Data Architecture Design
- Define and design
  Big Data architecture
  solutions, including data lakes, data warehouses, and real-time processing systems.
- Architect and implement scalable, secure, and high-performance
  data pipelines
  and data integration solutions.
- Ensure alignment with industry best practices and organizational goals for data architecture.
Big Data Ecosystem Management
- Develop and manage workflows using
  Big Data tools
  like Hadoop, Spark, Kafka, Hive, and Flink.
- Leverage cloud-based Big Data services (AWS EMR, Azure Synapse, GCP BigQuery, or similar) to optimize performance and scalability.
- Oversee the implementation of
  streaming data platforms
  to support real-time analytics.
Data Modeling and Integration
- Design and maintain data models (conceptual, logical, and physical) that support structured and unstructured data.
- Build robust
  ETL/ELT processes
  to ingest, process, and integrate large volumes of diverse data sources.
- Implement APIs and frameworks for seamless data sharing and consumption.
Data Governance and Security
- Establish frameworks to ensure
  data quality
  , lineage, and governance across the data lifecycle.
- Implement security measures for
  data at rest and in motion
  using encryption and access controls.
- Ensure compliance with global data regulations such as GDPR, CCPA, or similar.
Gen AI
exposure / experience as
mandatory
.
Collaboration and Stakeholder Engagement
- Partner with data engineers, data scientists, business analysts, and IT teams to align architecture with business needs.
- Translate complex technical concepts into actionable insights for stakeholders.
Performance Optimization and Monitoring
- Monitor and optimize performance of Big Data systems, ensuring low latency and high reliability.
- Troubleshoot and resolve performance bottlenecks in distributed data environments.
Emerging Technology and Innovation
- Evaluate and implement emerging technologies, such as
  Graph Databases, NoSQL Systems, and AI-driven analytics platforms
  .
- Continuously explore innovations in the
  Big Data ecosystem
  to drive efficiency and competitive advantage.

Success Criteria

Explore different tech stacks and architecture design
Document supporting evidence with KPIs for decision on solution design and document product guideline and protocols to seamlessly utilize the framework
Prior experience with ETL & Big Data to set up scalable pipeline to process data in real time and batch
Develop configurable solutions to support cross functional requirements and support multiple platforms.
Experience in managing cross-functional team, requirements gathering , day-to-day relationships with clients, and stakeholders supporting clients to achieve better outcomes

Preferred Qualifications

Education
:
- Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field.
Experience
:
- 10+ years of experience in data architecture, with at least 3+ years focusing on Big Data technologies.
- 5+ years as Data Architect with proficiency working in environments supporting solutions design
- Proven track record of delivering end-to-end Big Data solutions in enterprise environments.
Technical Expertise
:
- Strong understanding of
  Big Data frameworks
  like Hadoop, Spark, Kafka, Hive, Flink, and Presto.
- Proficiency in
  cloud-based Big Data platforms
  (AWS EMR, Azure Synapse, GCP BigQuery, or Databricks).
- Expertise in database systems, including both SQL (e. g. , PostgreSQL, MySQL) and NoSQL (e. g. , MongoDB, Cassandra).
- Hands-on experience with ETL tools like Talend, Informatica, or Apache NiFi.
- Familiarity with data visualization tools (e. g. , Tableau, Power BI) and analytics platforms.

Certifications
:
- Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, GCP Professional Data Engineer, or Hadoop certifications are highly desirable.

Key Attributes

Strong analytical and problem-solving skills with a passion for data-driven innovation.
Excellent communication and collaboration abilities to engage both technical and non-technical stakeholders.
Strategic mindset with a focus on scalability, performance, and alignment with business objectives.
Ability to thrive in fast-paced environments and handle multiple priorities effectively.

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