Senior Specialist - Architecture

About the role

We are seeking a Data Architect to design, build, and maintain scalable data pipelines and advanced analytics solutions in Tampa, FL.

Responsibilities

• Design, build, and maintain scalable data pipelines using PySpark, Spark SQL, and Python.
• Work with large-scale data platforms including Hive, Impala, S3, and HDFS.
• Implement ETL/ELT workflows using tools such as Talend or Ab Initio.
• Ensure data quality, performance, and reliability across pipelines.
• Optimize data models for analytics and AI use cases.
• Analyze large datasets to identify trends, anomalies, and behavioral patterns.
• Apply machine learning and AI concepts (supervised/unsupervised learning) to support predictive and exploratory analysis.
• Perform feature engineering and data transformations to enable ML models.
• Partner with analytics and data science teams to prepare, validate, and operationalize datasets for AI/ML workflows.
• Support trend analysis, segmentation, clustering, and forecasting use cases.
• Interpret analytical results and translate them into business-friendly insights.
• Conduct deep-dive data analysis using SQL, Python, and Spark.
• Create analytical datasets for dashboards, reporting, and advanced analytics.
• Validate trends and findings with statistical reasoning and data profiling.
• Collaborate closely with stakeholders to answer complex business questions using data.

Requirements

• Strong proficiency in Python, PySpark, and data ingestion tools (mandatory).
• Advanced SQL and RDBMS expertise.
• Hands-on experience with Big Data technologies: Spark, Hive, Impala, HDFS, S3, and data lakehouse architecture (AWS Cloud, Airflow, Starburst, Iceberg).
• Solid experience in data analysis, data exploration, and trend identification.
• Understanding of machine learning fundamentals: regression, classification, clustering, feature engineering.
• Mandatory certification: Cloudera CCA Spark and Hadoop Developer (CCA175) or Databricks Certified Associate Developer for Apache Spark.

Skills

• Data Architecture
• Data Lakehouse Architecture

Benefits

• Comprehensive medical plan covering medical, dental, and vision.
• Short-term and long-term disability coverage.
• 401(k) plan with company match.
• Life insurance.
• Vacation time, sick leave, and paid holidays.
• Paid paternity and maternity leave.

Pay

The salary range for this position across all US locations is a minimum of $X to a maximum of $Y. Individual pay is determined by work location, job level, skills, experience, and relevant education or training. Additional compensation may include an annual performance-based bonus, sales incentive pay, or other forms of bonus/variable compensation.