Big Data Architect

4 weeks ago

Pune, India Talent Velocity Full time

Job Title : Big Data Architect

Experience : 8+ Years

Location : Nagpur / Pune (Onsite 5 Days Working)

Notice Period : 0 to 30 days max

About the Role :

We are looking for a highly skilled Big Data Architect to design and deliver scalable, production-grade big data solutions integrating Hadoop ecosystems with cloud platforms. The ideal candidate will have hands-on experience in architecting, optimizing, and deploying complex data pipelines while ensuring performance, cost efficiency, and best practices in data engineering.

Key Responsibilities :

- Deliver reference architecture for Hadoop + Cloud integration tailored to enterprise-scale environments.

- Deploy production-grade pipelines using HDFS, Spark, and Kafka for batch and real-time data processing.

- Set up best practices and implement CI/CD frameworks for data engineering workflows.

- Lead data performance optimization and cost-reduction strategies across the big data stack.

- Collaborate with cross-functional teams (data engineers, data scientists, DevOps) to ensure robust, scalable solutions.

- Provide technical leadership and mentor junior engineers in big data technologies.

Required Skills & Qualifications :

- 8+ years of experience in Big Data architecture and engineering.

- Expertise in the Hadoop ecosystem: HDFS, Hive, Sqoop, Oozie, Pig, Impala.

- Strong knowledge of real-time processing frameworks: Kafka, Spark Streaming, Flink.

- Hands-on experience with cloud platforms (AWS, GCP, or Azure) EMR, Dataproc, .HDInsight.

- Proficiency in Python, Scala, or Java for big data solutions.

- Experience with orchestration tools like Airflow or Prefect.

- Familiarity with Lakehouse technologies: Delta Lake, Apache Iceberg.

- Strong understanding of data modeling, data security, and governance best practices.

- Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications :

- Experience in cost-optimization strategies for large-scale data platforms.

- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

- Familiarity with CI/CD tools like Jenkins, GitLab CI/CD.

- Prior experience mentoring and leading engineering teams.


(ref:hirist.tech)

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