What's this role about?
As a Data Engineering & Analytics practice lead you will be responsible for growth, technical thought leadership and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
You will drive solution design, effort estimation, technical architecture and direction for the AWS/Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide solution/IP leadership
You will lead multiple competencies within data engineering & analytics, guiding communities on next best technologies and helping them plan next set of solutions and services in their respective technologies to present to customer.
Here is how you will contribute:
Data Engineering & Analytics Lead at Zensar takes up end to end ownerships of Snowflake Data & Analytics solution design and practice development: You will do this by:
* Responding to client RFI, RFP documents with deep and excellent technical solution design including cost estimates.
* Understanding customer requirements and create technical proposition.
* Creating proactive proposals by understanding customer business priorities, and technology landscape.
* Contributing to technical project roadmaps, etc required for successful execution of projects leveraging Technical Scoping & Solutioning approach.
* Building Solution roadmap & strategy for internal DE&A platform.
* Leading analyst briefings and presentations
* Presenting the technical solution to customers and RFP defense
* Managing all aspects of technical solutions development and ensure successful project deliveries.
* Developing best practises as & when needed.
* Estimating effort, identifying risk and providing technical support whenever needed.
* Demonstrating the ability to multitask and re prioritizing responsibility based on dynamic requirements.
* Leading and mentoring various practice competency practice teams as needed.
Skills required to contribute:
* 13-18 Years of overall Data and Analytics experience with
* Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS
* Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs).
* Knowledge of at least one of the following technologies/methodologies will be an additional advantage: Python, Streamlit, Matillion, DBT, Atlan, Terraform, Kubernetes, Data Vault, Data Mesh
* Ability to engage with principal data architects of client stakeholders
* Excellent presentation and communication skills. This role will require regular/frequent client presentation, presales discussions with group of client stakeholders and influence them with our solutions.
* Experience of hands on working on AWS Cloud Data Platforms. At least 2 certifications in AWS Data/analytics/AI stack is mandatory
* Expertise in hands on Snowflake including DWH, ETL, security, and meta data aspects. SnowPro certification is desirable.
* Experience with related/complementary open-source software platforms and languages (e.g. Java, Python, Scala)
* Understanding of AWS Bedrock, AI services and Snowflake Cortex services implementation life cycle, latest tools is desirable
* Strategies and develop IP/solution assets, accelerators, frameworks
* Engage with partners AWS and Snowflake counterparts
* Strong written, verbal, and presentation communication skills
* Be able to work with customers independently.
* Excellent communication skills interviewing, preparation and delivery of presentations and reports