Data Architect - Remote / Telecommute

Remote Full-time
Job Description: Pay Range: $07hr - $75hr Responsibilities: • Data Pipeline Development: Design, build, and maintain scalable data pipelines to ingest, process, and transform structured and unstructured data. • Data Modeling: Create optimized data models to support analytics, reporting, and machine learning workflows. • ETL/ELT Processes: Develop and manage ETL/ELT workflows to ensure clean, reliable, and high-quality data. • Database Management: Work with relational and NoSQL databases to ensure efficient storage and retrieval of large datasets. • Cloud Data Solutions: Implement and optimize data solutions on cloud platforms like AWS, Azure, or GCP. • Data Quality & Governance: Ensure data integrity, security, compliance, and quality across systems. • Collaboration: Partner with data scientists, analysts, and software engineers to deliver reliable data infrastructure. • utomation: Streamline data processes using orchestration tools and automation frameworks. • Monitoring & Optimization: Implement monitoring, logging, and performance tuning of data systems. • Documentation: Maintain detailed documentation of data pipelines, architecture, and workflows. Skills: • Programming Skills: Proficiency in Python, SQL, and familiarity with Java/Scala. • Data Pipelines & ETL: Experience with ETL tools (Airflow, DBT, Informatica, Talend). • Big Data Frameworks: Knowledge of Spark, Hadoop, Kafka, or Flink. • Data Warehousing: Hands-on experience with Snowflake, Redshift, BigQuery, or Synapse. • Cloud Platforms: Proficiency in AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow). • Databases: Strong experience with relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra). • Data Modeling: Expertise in designing star/snowflake schemas, OLTP/OLAP systems. • DevOps & Version Control: Familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform). • Data Governance & Security: Knowledge of GDPR, HIPAA, encryption, role-based access controls. • nalytical Skills: Strong problem-solving and optimization skills in handling big data. • Collaboration & Communication: Ability to work in cross-functional teams and clearly document technical processes. Apply tot his job
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