Big Data Architect/Practice Lead
4 weeks ago
Key Responsibilities :
As an Bigdata Architect / Practice Lead, you will :
- Work closely with Founder and CEO in establishing multi-year growth plan and be accountable for day to day execution against the plan and on shaping the future of the practice
- Be responsible for Solution Architecture, Clients and delivery across Data Engineering, Cloud platforms & Data Science
- Architect end to end solutions from data ingestion to insights. You will be responsible for the development of high performance, distributed data-driven use cases by leveraging emerging big data technologies including Spark, Kafka, Python, Scala, SQL, No-SQL, Hadoop ecosystem with complete automation of the tasks using the CI/CD pipeline comprising of Airflow on AWS/Azure
- Mentor and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions
- Work closely with AWS and Azure ecosystem to execute on joint strategic initiatives and be responsible for advancing client's partnership tier, attainment of competencies, and achievement of certifications
- Collaborate with Clients, Partners to develop new joint service offerings and packaged solutions. Evangelize the Big Data practice within and outside of client, be the face of client for all things
- Collaborate with client's Alliances, Growth and Delivery teams during of the entire engagement lifecycle from account planning through pre-sales, delivery, execution and customer satisfaction on AWS related engagements
- Be client facing by acting as a trusted advisor to client across all aspects
- Lead practice growth agenda, pre-sales in client facing proposals, pitches, and RFP responses related to practice
Education level: Bachelor's degree in Computer Science or equivalent from reputed institute
Experience : Minimum 6 to 10+ years of proven experience
Preferred Certification (one or more) :
- AWS certified Data Analytics Specialty
- AWS Solution Architect Associate/Professional
- Azure Data Engineer + Solution Architect
- Databricks certified Spark Developer
Technical Expertise :
- Advanced knowledge of distributed architectures, data modeling practices. Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions
- Hands-on command on modern programming languages like Java, Python, Scala, SQL, etc AND Big Data stack: Hadoop, Spark, HIVE, Kafka AND Orchestration & workflow tools like Airflow & Jenkins for CI/CD
- Ability to architect end to end solutions from ingestion to insights, expert in designing data integrations using ETL and other data integration patterns
- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.
- Experience in enforcing data modeling standards and other best practices from data, cloud & analysis perspective
Skills :
Must Know :
- Deep expertise in core big-data ecosystem
- Spark - PySpark/Scala/Kafka
- ETL tool like Microsoft SSIS or similar data integration tool
- Handling of various file formats
- Cloud platform - AWS or Azure
- One of the workflow tools similar to Airflow
- Databases like SQL / NoSQL e.g. MongoDB Containers e.g. Docker and Kubernetes
Nice to Know : Databricks, CICD with Jenkins/Azure DevOps
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