Senior Data Engineer

DIRECTV is seeking a Senior Data Engineer responsible for driving the design, development, and implementation of complex data models and analytics solutions. In this role, you will serve as a technical leader in interpreting data analytic use cases while collaborating with CDO Policy, Security, and Legal teams to establish data governance frameworks. This position specializes in developing sophisticated data interfaces, retention models, and anonymization techniques while leading cross-functional initiatives and mentoring team members.

Here's what you’ll do:

Data Architecture & Model Development

• Design and develop scalable data warehousing solutions, building ETL/ELT pipelines in Big Data environments (cloud, on-prem, hybrid).
• Lead technical discussions on data architecture strategies and methodology approaches.
• Create and optimize data pipelines for structured and unstructured data processing.
• Develop and maintain data lineage documentation and technical specifications.
• Evaluate and recommend new data technologies and tools to enhance platform capabilities.
• Perform data analysis and profiling, meet with application SME's to understand source data model and translate it to Dimensional model.
• Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions.

Data Policy & Security Implementation

• Collaborate with CDO Policy and Security teams to establish comprehensive data governance policies.
• Work closely with Legal teams to ensure compliance with data privacy regulations and industry standards.
• Design and implement data retention models with appropriate synthesis and anonymization techniques.
• Develop secure data interfaces that protect sensitive information while enabling analytics.
• Create and maintain data classification frameworks and access control mechanisms.

Advanced Data Processing & Analytics

• Gather, mine, and process large-scale structured and unstructured datasets using advanced techniques.
• Implement best practices for data ingestion, validation, normalization, and cleaning processes.
• Develop automated data quality monitoring and alerting systems.
• Create complex data transformations and aggregations to support business intelligence needs.
• Optimize data processing workflows for performance and scalability.

Cross-Functional Leadership & Collaboration

• Lead data engineering initiatives across multiple teams and organizational units.
• Serve as technical subject matter expert for data-related projects and strategic decisions.
• Coordinate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
• Participate in architecture review boards and technical design sessions.
• Drive adoption of data engineering best practices across the organization.

Mentorship & Knowledge Transfer

• Provide regular guidance and mentoring to junior data engineers and team members.
• Conduct technical training sessions on data engineering tools, techniques, and methodologies.
• Review code and technical designs to ensure quality and adherence to standards.
• Contribute to the development of data engineering standards and documentation.

What you’ll need to be successful:

Required Experience & Skills

• 3 – 5 years of experience in data engineering and data architecture.
• Advanced expertise in data engineering with proven track record of delivering complex data solutions.
• Extensive experience with data policy development, security frameworks, and compliance requirements.
• Strong background in implementing data security policies, like encryption/decryption, anonymization, and other privacy-preserving techniques.

Technical Expertise

• Programming Languages: Proficiency in Python, SQL, Scala for data processing.
• Cloud Platforms: Hands-on experience with Snowflake, Databricks, AWS & Azure, or GCP data services.
• Database Systems: Advanced knowledge of relational databases and data mesh architecture.
• Data Modeling: Expertise in dimensional modeling, data vault, and other data modeling methodologies; hands on experience on data modeling tools such as Erwin, SQLDBM etc.
• ETL/ELT Tools: Experience with modern data integration tools and frameworks.
• Big Data Technologies: Experience with Hadoop, Spark, Kafka, or similar distributed computing platforms.
• Data Observability: Experience with modern data auditing/observability tools such Monte Carlo, etc.
• Data Visualization: Experience with reporting tools such as PowerBI and Tableau.

Specialized Knowledge

• Deep understanding of data governance, privacy regulations (GDPR, CCPA), and compliance frameworks.
• Experience with data anonymization techniques, differential privacy, and synthetic data generation.
• Knowledge of data retention policies and automated data lifecycle management.
• Familiarity with data cataloging tools and metadata management systems.
• Knowledge of Corporate Finance and Supply Chain domains is preferred.

Core Competencies

• Technical Leadership: Ability to lead complex technical initiatives and drive architectural decisions.
• Problem-Solving: Advanced analytical skills to resolve sophisticated data engineering challenges.
• Communication: Strong ability to translate technical concepts for non-technical stakeholders.
• Collaboration: Proven experience working effectively with cross-functional teams.
• Mentorship: Demonstrated ability to guide and develop junior team members.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or related field.
• Industry certifications in cloud platforms or data engineering tools.
• Experience in regulated industries (financial services, healthcare, telecommunications).
• Knowledge of machine learning operations (MLOps) and data science workflows.
• Experience with real-time data processing and streaming analytics.

This role offers the opportunity to shape data strategy and architecture while working on cutting-edge data engineering challenges that drive business innovation and maintain the highest standards of data security and compliance.

May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law.

This is a remote position that can be located anywhere in the contiguous United States. #LI-Remote

A career with us comes with big rewards:

DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location.

The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTV's 4 (four) US Labor Market Zones. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

DIRECTV WAGE ZONES: $122,194 - $221,818

Low (N1): $122,194 - $183,241
Mid (N2): $128,625 - $192,885
High (N3): $141,488 - $212,174
Top (N4): $147,919 - $221,818

Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package.

Apply today!