Lead data strategy, architecture, and governance. Design and oversee data lakes, warehouses, and ETL/ELT pipelines. Support analytics, ensure data quality/security/compliance, evaluate data technologies, and mentor a team of engineers, analysts, and scientists.
Job Description: Data Lead
We are seeking a highly skilled Data Lead to drive data strategy, architecture, and governance across our organization. The ideal candidate will have extensive experience in data management, data engineering, and analytics, ensuring high-quality, scalable, and secure data solutions that support business objectives.
Key Responsibilities:
- Data Strategy & Governance: Define and implement data governance, policies, and best practices to ensure data quality, security, and compliance.
- Data Architecture: Design and oversee the implementation of scalable and robust data architectures, including data lakes, warehouses, and pipelines.
- Data Engineering: Lead the development, optimization, and maintenance of ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
- Analytics & Insights: Work closely with data analysts and scientists to support analytics initiatives, ensuring accurate and timely data availability.
- Collaboration: Partner with engineering, product, and business teams to understand data needs and provide strategic solutions.
- Technology Stack: Evaluate and recommend modern data technologies, tools, and frameworks to optimize data workflows.
- Team Leadership: Mentor and lead a team of data engineers, analysts, and scientists, fostering a culture of innovation and excellence.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Experience in data engineering, data management, or a related role.
- Expertise in SQL, NoSQL databases, and big data technologies such as Hadoop, Spark, or Kafka.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and related data services.
- Strong understanding of ETL/ELT pipelines, data warehousing (Snowflake, Redshift, BigQuery), and data modeling.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data governance, security, and regulatory compliance (GDPR, HIPAA, etc.).
- Strong analytical, problem-solving, and leadership skills.
- Excellent communication and stakeholder management abilities.
- Experience in PostgreSQL and Data Modelling
Compensation, Benefits and Duration
Minimum Compensation: USD 33,000
Maximum Compensation: USD 118,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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