Senior Data Architect

3 weeks ago

Houston, Texas, United States HCSS Employer, Inc. Full time
Job Description

We are seeking a highly skilled Senior Data Engineer to lead the design, development, and management of scalable data architectures and pipelines. The ideal candidate will have deep expertise in data warehousing, ETL processes, and cloud data platforms, along with a passion for optimizing data workflows and implementing best practices.

Key Responsibilities:

  • Architect and build data systems to manage and process large datasets efficiently.
  • Collaborate with product, engineering, and data teams to ensure seamless data integration across multiple sources.
  • Leverage cloud infrastructure to build, optimize, and scale data solutions.
  • Develop and maintain complex data models and schemas to support analytical and business needs.
  • Ensure data security, privacy, and governance policies are in place and adhered to.
  • Optimize query performance and data storage solutions to ensure timely and efficient data processing and retrieval.
  • Provide technical leadership and mentoring to junior data engineers, fostering best practices and continuous learning.

Requirements:

  • Extensive experience with cloud data platforms, primarily Azure (Data Lake, Synapse, Fabric), with additional experience in AWS (Redshift, S3, Glue) and Google Cloud (BigQuery, Dataflow) being a plus.
  • Expertise in ETL tools and frameworks (e.g., Azure Data Factory).
  • Proficiency in Python, Java, or Scala for data processing and automation tasks.
  • Experience with data warehousing concepts and technologies (e.g., Delta lake and Synapse).
  • Strong understanding of data modeling, data lakes, and distributed data systems (e.g., Hadoop, Spark).
  • Strong proficiency in SQL and experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL).
  • Familiarity with version control tools (e.g., Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication and collaboration skills to work with cross-functional teams.
  • Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills:

  • Experience with streaming data platforms (e.g., Kafka, Kinesis, Flink).
  • Knowledge of machine learning pipelines and big data processing frameworks.
  • Certifications in cloud technologies, such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer.

Why Work with Our Development Team?

  • Build products of real value by understanding customer problems and offering modern technical solutions.
  • Freedom to fail and focus on strengths rather than current title or role.
  • Be a mentor and coach, investing in employees and fostering a culture of continuous learning.
  • Work and fun, with a focus on team activities and get-togethers.

Benefits & Perks:

  • Flexibility to work in-office or hybrid.
  • Medical and dental premiums.
  • On-site amenities, including a covered basketball court, soccer field, and 200-meter track.
  • 401K with match.
  • Tuition reimbursement.
  • And more.

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