Lead/Data Architect

Posted 2 months agoViewed

💎 Seniority level: Lead, 7+ years

📍 Location: United States

💸 Salary: 170000.0 - 190000.0 USD per year

🔍 Industry: Healthcare technology

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: PythonSQLApache AirflowETLOraclePostgres

7+ years professional experience in data architect or similar role.
Proficient in programming languages such as Python and experience with frameworks like Apache Spark and Pandas.
Solid understanding of data warehousing and dimensional modeling.
SQL proficiency and experience optimizing queries on databases like Postgres, Oracle, and Redshift.
4+ years proven experience leading a team.
Experience with cloud platforms and their data services.

Develop technical architecture of OLTP and Enterprise BI/EDW datastores.
Design and implement scalable and efficient data infrastructure including data pipelines.
Lead and mentor a team of data engineers.
Develop and maintain data governance policies for quality and compliance.
Collaborate with teams to identify and address data challenges.
Evaluate and select appropriate technologies for scalability.
Drive continuous improvement initiatives.
Lead code reviews and troubleshoot production issues.
Assist department manager in project management and team tasks.

Posted 2 months ago

📍 USA

🧭 Regular

🔍 Technology consultancy

🔧 Requirements

Experience designing and implementing solutions on Databricks, Snowflake, Spark or EMR platforms.
Experience defining and implementing types of data architecture and technology stacks.
Exposure to designing application system architecture based on big data and AI technologies.
Experience in building, maintaining and tuning data platforms and data warehouse design.
Familiarity with common design patterns and foundational knowledge of distributed systems.
Proficiency in open-source distributed computing/storage technologies like YARN, Spark, Kafka, etc.
Understanding of data-driven techniques, advanced analytics, ML/AI and data mining applications.
Exposure to developing real-time and low-latency data streaming solutions.
Passionate about data infrastructure and operations, with expertise in cloud environments.

💡 Responsibilities

Navigate, with support, a data project's architectural concerns, enabling delivery teams to deliver on accepted standards within time and budget.
Provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics.
Interact with client counterparts from the enterprise architecture group to deliver, share, align and sign-off on key architectural decisions.
Communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders.
Lead, with support, the technical design of data governance, data security and data privacy to fulfill compliance requirements.
Incorporate data quality frameworks and processes to meet requirements.
Collaborate with sales and pre-sales to clarify requirements and design viable solutions.

Cloud ComputingData MiningETLMachine LearningSnowflakeData engineeringSparkData modeling

Posted 2 months ago