Pune, Maharashtra, India
Information Technology
Full-Time
Hypersonix Inc.
Overview
Data Architect
We are seeking an experienced and forward-thinking Data Architect with deep expertise in Big Data ecosystems to design and lead scalable data architecture solutions.
The ideal candidate will be responsible for designing, building, and optimizing data pipelines, storage frameworks, and architecture patterns to support advanced analytics, machine learning, and business intelligence initiatives.
Key Responsibilities
We are seeking an experienced and forward-thinking Data Architect with deep expertise in Big Data ecosystems to design and lead scalable data architecture solutions.
The ideal candidate will be responsible for designing, building, and optimizing data pipelines, storage frameworks, and architecture patterns to support advanced analytics, machine learning, and business intelligence initiatives.
Key Responsibilities
- Lead the design and development of enterprise-grade Big Data architectures using tools such as Hadoop, Spark, Kafka, Hive, etc.
- Architect scalable data lakes, data warehouses, and streaming platforms to support structured and unstructured data ingestion.
- Collaborate with business, data science, and engineering teams to understand requirements and translate them into robust architecture designs.
- Define data modeling standards, metadata management, and governance frameworks.
- Ensure data quality, lineage, and integrity across data systems.
- Drive best practices for performance, reliability, and security of large-scale data processing pipelines.
- Evaluate emerging technologies and make recommendations for adoption in alignment with business goals.
- Provide technical leadership and mentorship to data engineers and developers.
- Establish and enforce architectural standards, design patterns, and documentation.
- 8+ years of overall experience in data architecture, data engineering, or a similar role.
- Strong expertise in Big Data tools.
- Deep experience with data modeling, ETL frameworks, and distributed data processing.
- Hands-on knowledge of cloud platforms (AWS, GCP, Azure) and tools like Amazon Redshift, BigQuery, Snowflake, or Databricks.
- Proficiency in SQL, and scripting languages such as Python, Scala, or Java.
- Experience in designing real-time data streaming and batch processing pipelines.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Bachelors or Masters degree in Computer Science, Data Engineering, or related field.
- Certifications in Big Data technologies or cloud platforms (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).
- Experience working with BI tools (Tableau, Power BI, Looker) and supporting data visualization requirements.
- Exposure to ML pipeline integration is a plus
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