| Immediate Interview, Urgent Requirement, Senior Data Architect(AWS), Local to Dallas, TX , Onsite from Day 1 at Plano, Texas, USA |
| Email: [email protected] |
| From: rishi, Cohesive Technologies [email protected] Reply to: [email protected] Position Title: Senior Data Architect (AWS) Location: Plano, TX (Onsite) Long-term Contract Overall 15+ years of expereince. Roles and Responsibilities: Collaborate with business stakeholders to understand data requirements, goals, and challenges, and translate them into effective data architecture solutions. Design and implement scalable, high-performance data pipelines, data lakes, and data warehouses on AWS. We are seeking a skilled Data Architect with expertise in Data Platforms to join our team. As a Data Architect, you will also be responsible for developing and architecting data strategies that will enable secure and performant use of the data platform for BI solutions, advanced analytics and querying engine. End to End responsibility for data collection, transformation, storage, governance, and consumption. Manage and define processes of external and internal data integrations. Work closely with software engineers and DevOps teams to ensure APIs, data models, connectors, microservices are efficient and performant. Lead architecture build self-service data access capabilities and smart APIs to drive data decisions. Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low. Improve data quality, data validation layers to help the BI solutions highlight rich data. Solid understanding of Kafka fundamentals to leverage kafka streams to provide near real time reporting solutions. Collaborate with development teams and product owners to implement data strategies and plans that align with business objectives and performance goals. Design and implement virtual warehouses for existing and new use cases. Experience and Qualification: Hands-on experience in developing data enterprise solutions using AWS services. In-depth knowledge of AWS data services, including S3, Redshift, Glue, Athena, EMR, etc. Extensive hands-on experience with DWH, APIs, Data Lake environments. Strong proficiency in data modeling, ETL/ELT processes, data warehousing, and data integration. Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Hands-on experience with programming languages such as Python, Java, Scala, or similar. Lead architecture of solutions to build self-service composite tools composed of microservices. Excellent communication skills, with the ability to communicate technical concepts and solutions to both technical and non-technical stakeholders and management. Experience in leading solutions around technology, data, Machine Learning, and Data Engineering, data governance and regulatory compliance, managing deliverables. Preferred Qualifications: AWS certifications such as AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect - Associate/Professional. Experience with big data technologies such as Hadoop, Spark, or Kafka. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Keywords: business intelligence sthree Texas |
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| Sun Aug 27 00:09:00 UTC 2023 |