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Senior Data Architect
2 months ago
About Company
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Client Description
Our client is a major Fortune 500 company and one of the world’s most innovative and cutting-edge technology companies, and this role is in the Interactive department.
Droisys is seeking Senior Cloud Data Architect job offering onsite hybrid work for a long-term job opportunity in Raritan, NJ area of the USA.
Job Description
Job Title Senior Cloud Data Architect
Job Location Raritan, NJ [Onsite Hybrid Work]
Duration 12 Months [Potential Extensions]
Experience 10 years
Key Skills Data architecture, Data engineering, Cloud Data, ETL, Data Pipelines, Python, SQL, Snowflake, Redshift, BigQuery, Hadoop, Spark
Required Experience
- 10+ years of experience in data architecture, data engineering, or data management.
- Strong experience in building and optimizing data pipelines, architectures, and data sets.
- Proven experience in data modelling, database design, and data integration.
- Experience with both structured (SQL) and unstructured (NoSQL, Hadoop) data management.
- Demonstrated experience in data analysis and delivering data-driven insights to stakeholders.
- Experience with cloud platforms for data management (e.g., AWS, Azure, Google Cloud).
- Knowledge of data governance and compliance frameworks.
Technical Skills
- Proficiency with ETL tools (e.g., Talend, Informatica) and data pipeline orchestration frameworks (e.g., Apache Airflow, AWS Glue).
- Strong SQL and Python programming skills.
- Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and big data technologies (e.g., Hadoop, Spark).
- Familiarity with data analysis and visualization tools (e.g., Tableau, Power BI, Looker).
- Experience with advanced analytics and machine learning platforms is a plus.
- Knowledge of data lake architecture and working with real-time streaming data solutions (e.g., Kafka, Kinesis) is highly desirable.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
- Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer.
- Strong problem-solving and analytical thinking with experience in delivering strategic data solutions.
- Excellent communication skills to interact with both technical and non-technical stakeholders.
- Experience with Agile methodologies and data engineering best practices.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
