Quantiphi
Location
Bangalore | India
Job description
Technical Architect - Data (Managed Services)
About Company Quantiphi is an award-winning applied AI and data science software and services company driven by the desire to solve transformational problems at the heart of business. Company highlights: ❖ Quantiphi has seen 2.5x growth YoY since its inception in 2013. ❖ Winner of the " Machine Learning Partner of the year " award from Google for two consecutive years - 2017 and 2018. ❖ Winner of the " Social Impact Partner of the year " award from Google for 2019. ❖ Headquartered in Boston, with 700+ data science professionals across different offices. For more details, please visit our Website or our LinkedIn Page Job Description Job title : Technical Architect - Data (Managed Services) Location : Trivandrum/Bangalore/Mumbai Experience : 8+ years Overview As a technical architect, you'll leverage your expertise in designing and implementing end-to end data pipelines, data warehouses, and business intelligence solutions on leading cloud platforms like GCP, AWS, or Azure. You'll collaborate with cross-functional teams to understand client requirements, translate them into robust architectural designs, and ensure the seamless integration of diverse data sources. Roles and Responsibilities ➔ Responsible for designing solutions that meet the specific business needs. ➔ Understanding client objectives, assessing technical feasibility, and creating comprehensive architecture designs. ➔ Identify scope, functional requirements as flag risk and suggest ideas on how to mitigate. ➔ Provide technical leadership and guidance to teams involved in implementing and managing solutions ➔ Set technical standards, best practices, and ensure adherence to architectural principles. ➔ Mentor Young Talent within the Team, Define and Track their growth parameters. Skillsets Requirements Technical Skills ➔ More than 8 years of experience in Technical, Solutioning, and Analytical roles. ➔ Ability to understand business requirements, translate them into functional and non functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. ➔ Building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS). ➔ Architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. ➔ Setting up ETL framework and Data ingestion pipelines form batch & stream data. ➔ Expertise in SQL writing and performance optimization. ➔ Strong troubleshooting skills to identify the root cause of performance bottlenecks. ➔ Proficiency in working with distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. ➔ Demonstrate expertise in data Integration and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. ➔ Strong knowledge and experience with both Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. ➔ Proficiency in working with No-SQL databases like MongoDB, CouchDB, Cassandra, GraphDB, etc. ➔ Showcase the capability to architect scalable data warehouse solutions on cloud on Big Query or Redshift. ➔ Experience in data integration, storage, and data pipeline tool sets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. ➔ Expertise in utilizing Cloud solutions for IaaS, PaaS, SaaS, Containers, and Microservices Architecture and Design. Soft Skills ➔ Strong Communication and Articulation Skills. ➔ Good Leadership Skills. ➔ Should be a good team player. ➔ Good Analytical and Problem-solving skillsJob tags
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