Data Architect

Data Architect

TechTarget (Nasdaq: TTGT) is the global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies. With high-quality editorial content across more than 150 highly targeted technology-specific websites and 1,125 channels, TechTarget attracts technology buyers researching companies’ information technology needs.?By understanding tech buyer content consumption, TechTarget creates the purchase intent insights that fuel effective marketing and sales activities for clients around the world.TechTarget’s subsidiaries and divisions include:

• BrightTALK®, a B2B webinar and virtual event marketing platform for content marketing and demand generation

• Enterprise Strategy Group™, an integrated technology analyst, research and strategy firm providing market intelligence and actionable insight to the global technology community

• Xtelligent Healthcare Media™, the largest B2B healthcare integrated marketing services, media and data network

The Data Architect / Lead will play a key role in in the Design and Development of Data models, datasets, and ETL/ELT pipelines from a variety of data sources to the Data Warehouse / Data Lake on Google Cloud Platform (GCP) for TechTarget’s flagship Priority Engine product. Priority Engine relies heavily on this foundational data layer.

The Data Architect will help provide technical leadership and strategic direction for Priority Engine’s data platform. The position will be responsible for the delivery and technical quality of our programs, taking on complex projects. It will also partner with cross-functional stakeholders to drive initiatives forward, and mentor team members in technical design, project leadership, and running team processes. The position will be responsible to build and maintain scalable data infrastructure

The candidate must have a keen sense for the business drivers, have a vision for the data strategy and help execute it. The candidate must be familiar with industry trends and best practices around data engineering on the cloud and apply them appropriately. The candidate must be a hand-on professional and able to explain work experiences with these technologies ( knowledge or certificates without actual experience is not acceptable.)

Responsibilities:

• Cloud Data Strategy: Develop and implement a comprehensive cloud data strategy, aligning it with the organization's business objectives, ensuring scalability, reliability, and security
• Data Architecture Design: Design and implement the cloud-based data architecture, considering factors such as data modeling, data integration, data storage, and data governance. Evaluate and select appropriate cloud technologies and services to support the architecture, such as data lakes, data warehouses, and data pipelines
• Data Modeling and Design: Define data models, schemas, and structures to effectively capture and represent data requirements. Ensure data models are optimized for performance, scalability, and ease of use.
• Data Integration: Develop strategies and implement solutions for seamless data integration from various sources into the cloud-based data architecture. Collaborate with cross-functional teams, including data engineers and data analysts, to design and implement data pipelines and ETL processes.
• Cloud Infrastructure Optimization: Collaborate with infrastructure teams to optimize the cloud environment for data storage, processing, and analytics. Identify opportunities to leverage cloud-native services and technologies to enhance performance and cost efficiency
• Collaboration and Stakeholder Management: Work closely with business stakeholders, data analysts, and other teams to understand data requirements and translate them into actionable solutions. Provide guidance and technical leadership to cross-functional teams to ensure alignment with the cloud data architecture
• Design, develop, and implement end-to-end data solutions (storage, integration, processing, access) in Google Cloud Platform (GCP);
• Create ETL/ELT pipelines that transform and process terabytes of structured and unstructured data in real-time;
• Deeply immerse in our Priority Engine Data Pipelines, to acquire full understanding and ability to converse with business representatives and individual contributors
• Some upcoming technical challenges include scaling our data ingestion pipelines across a growing number of GCP, AWS, and data center-based data sources, reducing the latency of our product data ingestion pipelines through moving batch jobs into a streaming architecture, and extending our data lake architecture for the growing ecosystem of data ingestion and creation tools.
• Be a hands-on contributor on the team;
• Collaborate with product/application architects to develop holistic solutions;
• Implement operational procedures (logging, monitoring, alerting, etc.) for dependable running of pipelines/jobs; and
• Be autonomous. You own what you work on. You move fast, take ownership, and get things done. The Data lake/warehouse is a central and essential service for multiple initiatives, and you need to be able to multitask and juggle priorities on a regular basis with a deep understanding of business impacts of prioritization decisions.

Requirements:

• BS Degree in Computer Science or a related field
• Proven experience as a Cloud Data Architect or in a similar role, with a focus on designing and implementing cloud-based data architectures.
• 10+ years industry experience, 4+ years in a similar role
• Strong experience of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Expertise in data modeling, database design, and data integration techniques.
• Proficiency in SQL and Python and scripting languages for data manipulation and transformation.
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
• Understanding of data governance principles, data security, and regulatory compliance.
• Experience with data visualization and business intelligence tools (e.g., Tableau, Looker) is a plus
• Versatility: Experience across the entire spectrum of data engineering, including:
  • Cloud data stores (Example: Snowflake, GCP BigQuery, GCP BigTable, GCP FireStore, GCP CloudSQL)
  • Data pipeline and workflow orchestration tools (e.g., Dataflow, Airflow, Azkaban)
  • Data processing technologies
  • Data messaging technologies (e.g., GCP PubSub, Kafka)
• Strong Unix/Linux Shell scripting,
• Demonstrated knowledge of industry trends and standards
• Ability to think through multiple alternatives and select the best possible solutions for strategic and tactical business needs, and
• Excellent verbal and written communication

Nice to Have:

• Experience with GCP
• Machine Learning Engineering Certificate (with corresponding work experience)

TechTarget may require applicants to satisfactorily complete a background check. TechTarget will consider your job duties, among other factors, in determining what constitutes satisfactory completion of the background check. All information obtained as a result of a background check will be used solely for employment purposes.

TechTarget (https://www.techtarget.com/ ) offers generous benefits including Health, Dental, Vision and 401k plans. We also offer a flexible Open Leave Policy and 18 paid holidays. In addition, we have active programs to assist in assimilating new hires and to encourage and support growth.

For the headquarters location in Newton, Massachusetts: Riverside Center is an ADA compliant office building accessible by public transportation and has onsite lactation rooms and a fitness facility. We enjoy bagel Wednesdays, free snacks and beverages and a subsidized lunch program. Join us!

Nondiscrimination Policy

TechTarget, Inc., including its subsidiaries, is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex (including pregnancy), age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment. TechTarget complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable federal, state or local law.

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