
Zensar Technologies
7 days ago
Position : Databricks Architect
Experience : 1215 Years
Location : Pune / Bangalore / Hyderabad
Role Overview :
As a Databricks Architect, you will provide expert advisory and thought leadership in building scalable analytics environments leveraging cloud platforms and big data technologies. You will drive integration with existing data and analytics systems, ensuring solutions address data security, privacy, governance, and workload management. You will be deeply involved in pre-sales, solution design, and delivery oversight.
Key Responsibilities :
- Lead end-to-end project execution from opportunity identification to closure, owning technical delivery and client engagement.
- Respond to RFIs/RFPs with detailed solution designs and cost estimates.
- Collaborate on Statements of Work (SoWs), project roadmaps, and technical scoping documents.
- Plan and manage sprint deliveries, estimate effort, identify risks, and provide ongoing technical support.
- Write comprehensive technical documentation aligned with customer requirements.
- Ensure adherence to coding standards, conduct code reviews, and drive best practices.
- Mentor and lead project teams, adapting priorities in a dynamic environment.
Required Skills and Experience :
- 1215 years in Data & Analytics, including at least 6 years with Big Data technologies.
- Minimum 3 years experience with Cloud Data services on Azure, AWS, or GCP, including Databricks.
- Hands-on expertise with Big Data ecosystem : HDFS, Spark, Hadoop, MapReduce, Sqoop, Pig, Hive, HBase, Flume, Kafka.
- Experience with NoSQL databases such as MongoDB, Cassandra, or HBase.
- Skilled in job scheduling tools like Oozie or Airflow.
- Proven experience in migrating and re-architecting on-premise data warehouses to cloud platforms using native or third-party services.
- Proficiency in building production-grade data pipelines using Java, Python, Scala, and Delta Lake.
- Strong background in designing cloud-native data analytics solutions.
- Expertise in requirements analysis, solution architecture, data modeling, ETL, integration, and migration design.
- Familiarity with project methodologies such as Waterfall, Agile, and Scrum.
- Excellent communication, presentation, and stakeholder management skills.
Preferred / Nice to Have :
- Experience with MDM/DQM/Data Governance tools like Collibra, Ataccama, Alation, or Reltio.
- Certifications in Databricks, Spark, or cloud data technologies.
- Experience with Snowflake and reporting tools like Power BI or Tableau.
- Knowledge of Unix/Linux environments.
(ref:hirist.tech)
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